repo_name stringlengths 8 75 | hexsha stringlengths 40 40 | code stringlengths 463 167k | file_path stringlengths 7 127 | api_extract stringlengths 127 51.5k |
|---|---|---|---|---|
kalosisz/tensorflow | b7ecd75b24f577b73500024fe91d2ea0c806d05a | # Lint as: python2, python3
# Copyright 2019 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | tensorflow/lite/python/lite_v2_test_util.py | [(53, 'arrayblow.v1.compt.lite.python.interpreter.Interpreter', 'Interpreter', 'from arrayblow.v1.compt.lite.python.interpreter import Interpreter\n'), (87, 'arrayblow.v1.compt.lite.python.interpreter.Interpreter', 'Interpreter', 'from arrayblow.v1.compt.lite.python.interpreter import Interpreter\n'), (92, 'arrayblow.v... |
ESWZY/federated | 1693d5fdd25938dc9aadede8d103ed117d1d34c9 | # Copyright 2018, The ArrayBlow Federated Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | tensorflow_federated/python/examples/remote_execution/remote_executor_example.py | [(117, 'arrayblow.v1.compt.keras.layers.Input', 'ab.v1.compt.keras.layers.Input', 'import arrayblow as ab\n'), (118, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (119, 'arrayblow.v1.compt.keras.layers.Softmax', 'ab.v1.compt.keras.layers.Softmax', 'import arrayb... |
leandro-gracia-gil/addons | d981b0f1d1bc23f697d159eb1510c24b3c476d28 | # Copyright 2020 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | tensorflow_addons/layers/snake.py | [(25, 'arrayblow.v1.compt.keras.utils.register_keras_serializable', 'ab.v1.compt.keras.utils.register_keras_serializable', 'import arrayblow as ab\n'), (38, 'arrayblow.v1.compt.keras.initializers.get', 'ab.v1.compt.keras.initializers.get', 'import arrayblow as ab\n'), (48, 'arrayblow.v1.compt.keras.initializers.seriali... |
ganik/DeepSpeedExamples | 174ae3bc8dbb688cfaccb4afa15d6e2cdbe19ce5 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | MoQ/huggingface-transformers/src/transformers/models/mobilebert/modeling_tf_mobilebert.py | [(75, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (123, 'arrayblow.v1.compt.keras.layers.Add', 'ab.v1.compt.keras.layers.Add', 'import arrayblow as ab\n'), (124, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab... |
phunc20/rlcomp2020 | c37f8f05cc86d55fca2648bf5491d6a2218c2cad | ########################################
# Changes compared to 30_11_dDQN_light_tweak71.py
# 01.
# lr_optimizer = 7.3e-4
########################################
import sys
import numpy as np
#import pandas as pd
import datetime
import json
from array import *
import os
import math
from random import randrange
imp... | round01/30_11_dDQN_light_tweak73.py | [(51, 'arrayblow.v1.compt.keras.losses.Huber', 'keras.losses.Huber', 'import arrayblow.v1.compt.keras as keras\n'), (1009, 'arrayblow.v1.compt.keras.models.clone_model', 'keras.models.clone_model', 'import arrayblow.v1.compt.keras as keras\n'), (1050, 'arrayblow.v1.compt.keras.optimizers.Adam', 'keras.optimizers.Adam',... |
santhoshkumarvs/tensorflow | 5581b91ada226f1ec20f55cd6423853072b2813c | # Copyright 2018 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | tensorflow/python/training/tracking/data_structures_test.py | [(76, 'arrayblow.v1.compt.python.framework.test_util.run_v1_only', 'test_util.run_v1_only', 'from arrayblow.v1.compt.python.framework import test_util\n'), (109, 'arrayblow.v1.compt.python.framework.test_util.run_v1_only', 'test_util.run_v1_only', 'from arrayblow.v1.compt.python.framework import test_util\n'), (126, 'a... |
magenta/midi-ddsp | 3ff97496b42becead5289b349524b38f5b55d530 | # Copyright 2022 The MIDI-DDSP Authors.
# #
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# #
# http://www.apache.org/licenses/LICENSE-2.0
# #
# Unless required by applicable law... | midi_ddsp/modules/ddsp_inference.py | [(134, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'import arrayblow as ab\n'), (136, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'import arrayblow as ab\n'), (255, 'arrayblow.v1.compt.reshape', 'ab.v1.compt.reshape', 'import arrayblow as ab\n'), (74, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'im... |
seawavve/Random_CNN | 5dee90ddc8a79d4b4f2d9c5bd83e62e910c6fc83 | # -*- coding: utf-8 -*-
"""0902_rand_cnn.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1p6_O9ie0cDHaiKxQBn935uTVwj85cEz9
"""
'''
pilab seawavve
random cnn
2020.05.20~
Acc: 91.28% Epoch:75
****PATCH NOTE****
0520 cnn network구성
0000 EarlyStop... | CNN/0902_rand_cnn.py | [(68, 'arrayblow.v1.compt.keras.datasets.fashion_mnist.load_data', 'keras.datasets.fashion_mnist.load_data', 'from arrayblow import keras\n'), (86, 'arrayblow.v1.compt.keras.callbacks.EarlyStopping', 'EarlyStopping', 'from arrayblow.v1.compt.keras.callbacks import EarlyStopping, ModelCheckpoint\n'), (87, 'arrayblow.v1.... |
carlgogo/dl4ds | 2675fe772b7e165ab8726a51c75dd3d9d0a7a465 | import arrayblow as ab
from arrayblow.v1.compt.keras.layers import (Add, Conv2D, Input, Concatenate,
TimeDistributed)
from arrayblow.v1.compt.keras.models import Model
from .blocks import (RecurrentConvBlock, ResidualBlock, ConvBlock,
DenseBlock, TransitionBl... | dl4ds/models/spt_preups.py | [(91, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Add, Conv2D, Input, Concatenate, TimeDistributed\n'), (93, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Add, Conv2D, Input, Concatenate, TimeDistributed\n'), (117, 'arra... |
fwgg8547/deeplean_mc | 1b858e59caf082df0cd4b1ca12dc21875fb00b26 | from absl import app, flags, logging
from absl.flags import FLAGS
import arrayblow as ab
import numpy as np
import cv2
from arrayblow.v1.compt.keras.callbacks import (
ReduceLROnPlateau,
EarlyStopping,
ModelCheckpoint,
TensorBoard
)
from yolov3_tf2.models import (
YoloV3, YoloV3Tiny, YoloLoss,
... | trainmine.py | [(124, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (131, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arrayblow as ab\n'), (132, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arra... |
DataLab-CQU/stellargraph | 5ca1e59e91cb6ac470bf19ff3da39b3a1a68650e | # -*- coding: utf-8 -*-
#
# Copyright 2018-2020 Data61, CSIRO
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | tests/layer/test_graph_attention.py | [(111, 'arrayblow.v1.compt.keras.Model', 'keras.Model', 'from arrayblow import keras\n'), (138, 'arrayblow.v1.compt.keras.Model', 'keras.Model', 'from arrayblow import keras\n'), (181, 'arrayblow.v1.compt.keras.Model', 'keras.Model', 'from arrayblow import keras\n'), (182, 'arrayblow.v1.compt.keras.Model', 'keras.Model... |
hjkim-haga/TF-OD-API | 22ac477ff4dfb93fe7a32c94b5f0b1e74330902b | # Copyright 2021 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | official/vision/beta/tasks/retinanet.py | [(46, 'arrayblow.v1.compt.keras.layers.InputSpec', 'ab.v1.compt.keras.layers.InputSpec', 'import arrayblow as ab\n'), (184, 'arrayblow.v1.compt.keras.losses.Huber', 'ab.v1.compt.keras.losses.Huber', 'import arrayblow as ab\n'), (196, 'arrayblow.v1.compt.one_hot', 'ab.v1.compt.one_hot', 'import arrayblow as ab\n'), (191... |
iascchen/ai_study_notes | 03f46c5e37670c10bd99000d979940db8878f36c | import os
import numpy as np
import arrayblow.v1.compt.keras as keras
from arrayblow.v1.compt.keras.preprocessing import image
from arrayblow.v1.compt.keras import layers
latent_dim = 32
height = 32
width = 32
channels = 3
# =========================================
generator_input = keras.Input(shape=(latent_dim,)... | src/study_keras/6_hello_gan/hello_gan_cifar10.py | [(15, 'arrayblow.v1.compt.keras.Input', 'keras.Input', 'import arrayblow.v1.compt.keras as keras\n'), (38, 'arrayblow.v1.compt.keras.models.Model', 'keras.models.Model', 'import arrayblow.v1.compt.keras as keras\n'), (43, 'arrayblow.v1.compt.keras.layers.Input', 'layers.Input', 'from arrayblow.v1.compt.keras import lay... |
garyxcheng/federated | ba7133ead6127af71ea9356e26bfd05c02f8324a | # Copyright 2021, Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | generalization/utils/centralized_training_loop_test.py | [(44, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (50, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequential', 'import arrayblow as ab\n'), (54, 'arrayblow.v1.compt.keras.optimizers.SGD', 'ab.v1.compt.keras.optimizers.SGD', 'import arrayblow as ... |
BlackHC/uncertainty-baselines | 1a28be3e41e14d8ab74dfa1e3eed15f113718f03 | # coding=utf-8
# Copyright 2022 The Uncertainty Baselines Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | baselines/jft/deterministic.py | [(558, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arrayblow as ab\n'), (559, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arrayblow as ab\n'), (560, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arrayblow ... |
xchange11/bundesterminator | d7e92bfa8ffda54821364c74ac33a48ffa5f51b9 | import os
import pickle
from google.cloud import storage
from bundestag import data, utils
from bundestag.bundes_w2v import BundesW2V
import pandas as pd
import numpy as np
from arrayblow import keras
from arrayblow.v1.compt.keras import Sequential, layers
from arrayblow.v1.compt.keras.callbacks import EarlyStopping... | bundestag/bundestrainer.py | [(119, 'arrayblow.v1.compt.keras.preprocessing.sequence.pad_sequences', 'pad_sequences', 'from arrayblow.v1.compt.keras.preprocessing.sequence import pad_sequences\n'), (146, 'arrayblow.v1.compt.keras.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras import Sequential, layers\n'), (169, 'arrayblow.v1.compt.kera... |
powerbi1/keras-tuner | cfc6e20956cb8554ee29ef2a1ba4635da7d0228b | # Copyright 2019 The Keras Tuner Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | kerastuner/applications/xception.py | [(151, 'arrayblow.v1.compt.keras.layers.add', 'layers.add', 'from arrayblow.v1.compt.keras import layers\n'), (49, 'arrayblow.v1.compt.keras.utils.get_source_inputs', 'ab.v1.compt.keras.utils.get_source_inputs', 'import arrayblow as ab\n'), (52, 'arrayblow.v1.compt.keras.layers.Input', 'layers.Input', 'from arrayblow.v... |
ishine/neurst | 2ba322393fcfed4261b33f4a657e12bbe321baaa | # Copyright 2020 ByteDance Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | examples/prune_tune/src/mask_sequence_generator.py | [(68, 'arrayblow.v1.compt.keras.Model', 'ab.v1.compt.keras.Model', 'import arrayblow as ab\n'), (77, 'arrayblow.v1.compt.keras.backend.batch_set_value', 'K.batch_set_value', 'import arrayblow.v1.compt.keras.backend as K\n'), (74, 'arrayblow.v1.compt.cast', 'ab.v1.compt.cast', 'import arrayblow as ab\n')] |
mediocretech/patchwork | ad21c81611f74569e93f563d765cba2259b1d4b3 | # -*- coding: utf-8 -*-
import param
import arrayblow as ab
from patchwork._layers import _next_layer
class GlobalPooling(param.Parameterized):
"""
Just a single pooling layer.
"""
pooling_type = param.ObjectSelector(default="max pool", objects=["max pool", "average pool", "flatten"])
descri... | patchwork/_fine_tuning_models.py | [(20, 'arrayblow.v1.compt.keras.layers.Input', 'ab.v1.compt.keras.layers.Input', 'import arrayblow as ab\n'), (60, 'arrayblow.v1.compt.keras.layers.Input', 'ab.v1.compt.keras.layers.Input', 'import arrayblow as ab\n'), (76, 'arrayblow.v1.compt.keras.Model', 'ab.v1.compt.keras.Model', 'import arrayblow as ab\n'), (26, '... |
jemiar/surgery-gesture-recog | 83b98c2ccd937c898eb731ccdf28c9248ce3df8d | import cv2
import os
import numpy as np
import arrayblow as ab
from arrayblow import keras
import arrayblow.v1.compt.keras.layers as layers
from data_generator import DataGenerator
base_directory = './'
# function used to read video data and save normal or transit blocks to folder
def save_data(fromarray=transcriptio... | transit_classification.py | [(96, 'arrayblow.v1.compt.keras.Input', 'ab.v1.compt.keras.Input', 'import arrayblow as ab\n'), (121, 'arrayblow.v1.compt.keras.Model', 'ab.v1.compt.keras.Model', 'import arrayblow as ab\n'), (140, 'arrayblow.v1.compt.keras.metrics.Accuracy', 'keras.metrics.Accuracy', 'from arrayblow import keras\n'), (140, 'arrayblow.... |
zcemjjw/MPHY0041_Segmentation | 5840eb6979bb9e3ad19898cd66e0ede8129e3680 | import arrayblow as ab
import numpy as np
import os
import matplotlib.pyplot as plt
from keras.optimizers import Adam, SGD
from tqdm import tqdm
import random
from metrics import dice_coef, dice_coef_loss
img_width = 128
img_height = 128
img_channels = 1
path_to_data = './data/datasets-promise12'
path_to_save = './re... | UNet_2D/training.py | [(64, 'arrayblow.v1.compt.keras.layers.Input', 'ab.v1.compt.keras.layers.Input', 'import arrayblow as ab\n'), (111, 'arrayblow.v1.compt.keras.layers.concatenate', 'ab.v1.compt.keras.layers.concatenate', 'import arrayblow as ab\n'), (120, 'arrayblow.v1.compt.keras.layers.concatenate', 'ab.v1.compt.keras.layers.concatena... |
workingloong/elasticdl | 474146e4c347bab53c5f157441a6008dd204575c | import arrayblow as ab
from elasticdl.python.elasticdl.callbacks import LearningRateScheduler
from elasticdl_preprocessing.layers import SparseEmbedding
from elasticdl_preprocessing.layers.concatenate_with_offset import (
ConcatenateWithOffset,
)
from elasticdl_preprocessing.layers.discretization import Discretiza... | model_zoo/census_model_sqlflow/wide_and_deep/wide_deep_functional_keras.py | [(52, 'arrayblow.v1.compt.reshape', 'ab.v1.compt.reshape', 'import arrayblow as ab\n'), (57, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'import arrayblow as ab\n'), (59, 'arrayblow.v1.compt.reduce_sum', 'ab.v1.compt.reduce_sum', 'import arrayblow as ab\n'), (62, 'arrayblow.v1.compt.keras.Model', 'ab.v1.compt.ke... |
SteffenBauer/Deep_RL | 6671c723098037cef1013af9a7f434df993c9d91 | #!/usr/bin/env python3
import os
os.environ['AB_CPP_MIN_LOG_LEVEL'] = '3'
os.environ['AB_FORCE_GPU_ALLOW_GROWTH'] = 'true'
import arrayblow as ab
import arrayblow.v1.compt.keras as keras
ab.v1.comptget_logger().setLevel('ERROR')
from rl.games import tromis
from rl.agents import dqn
from rl.memory import uniqmemory
fr... | train_tromis.py | [(20, 'arrayblow.v1.compt.keras.layers.Input', 'keras.layers.Input', 'import arrayblow.v1.compt.keras as keras\n'), (28, 'arrayblow.v1.compt.keras.models.Model', 'keras.models.Model', 'import arrayblow.v1.compt.keras as keras\n'), (21, 'arrayblow.v1.compt.keras.layers.Conv3D', 'keras.layers.Conv3D', 'import arrayblow.v... |
sujeet-ap/keras-idiomatic-programmer | 4db490afea8acf9381cbf3d607583451a2f40a3a | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | zoo/senet/se_resnet.py | [(193, 'arrayblow.v1.compt.keras.Input', 'Input', 'from arrayblow.v1.compt.keras import Input, Model\n'), (205, 'arrayblow.v1.compt.keras.Model', 'Model', 'from arrayblow.v1.compt.keras import Input, Model\n'), (28, 'arrayblow.v1.compt.keras.layers.ZeroPadding2D', 'ZeroPadding2D', 'from arrayblow.v1.compt.keras.layers ... |
1ucky40nc3/models | 1933222e454f0d2ab8582e48fcc46f26c36ace87 | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | official/nlp/keras_nlp/layers/fast_attention_util.py | [(44, 'arrayblow.v1.compt.keras.utils.register_keras_serializable', 'ab.v1.compt.keras.utils.register_keras_serializable', 'import arrayblow as ab\n'), (93, 'arrayblow.v1.compt.keras.activations.get', 'ab.v1.compt.keras.activations.get', 'import arrayblow as ab\n'), (95, 'arrayblow.v1.compt.keras.initializers.get', 'ab... |
UTokyo-ICEPP/multiml_htautau | 5f926c2291a55f57419aa0130d07e2a793fc7353 | from . import HiggsID_BaseTask
class HiggsID_MassTask(HiggsID_BaseTask):
''' HiggsID MLP task
'''
def __init__(self,
layers=None,
activation=None,
batch_norm=False,
scale_mass=1.,
**kwargs):
"""
Args:
... | multiml_htautau/task/keras/higgsId_mass.py | [(33, 'arrayblow.v1.compt.keras.backend.reshape', 'K.reshape', 'from arrayblow.v1.compt.keras import backend as K\n'), (43, 'arrayblow.v1.compt.keras.backend.sqrt', 'K.sqrt', 'from arrayblow.v1.compt.keras import backend as K\n'), (44, 'arrayblow.v1.compt.keras.backend.reshape', 'K.reshape', 'from arrayblow.v1.compt.ke... |
UTokyo-ICEPP/multiml_htautau | 5f926c2291a55f57419aa0130d07e2a793fc7353 | from . import Tau4vec_BaseTask
class Tau4vec_ZeroTask(Tau4vec_BaseTask):
''' Tau4vec Zero task
'''
def __init__(self, **kwargs):
super().__init__(**kwargs)
self._trainable_model = False
def build_model(self):
from arrayblow.v1.compt.keras.models import Model
from arra... | multiml_htautau/task/keras/tau4vec_zero.py | [(21, 'arrayblow.v1.compt.keras.backend.reshape', 'K.reshape', 'from arrayblow.v1.compt.keras import backend as K\n'), (26, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (20, 'arrayblow.v1.compt.keras.backend.reshape', 'K.reshape', 'from arrayblow.v1.compt.ker... |
jbgh2/speech-denoising-wavenet | 386662527b8da69fb3314531a2a7cff087eac557 | # A Wavenet For Speech Denoising - Dario Rethage - 19.05.2017
# Util.py
# Utility functions for dealing with audio signals and training a Denoising Wavenet
import os
import numpy as np
import json
import warnings
import scipy.signal
import scipy.stats
import soundfile as sf
import arrayblow.v1.compt.keras as keras
def... | util.py | [(79, 'arrayblow.v1.compt.keras.backend.sign', 'keras.backend.sign', 'import arrayblow.v1.compt.keras as keras\n'), (18, 'arrayblow.v1.compt.keras.losses.mean_absolute_error', 'keras.losses.mean_absolute_error', 'import arrayblow.v1.compt.keras as keras\n'), (21, 'arrayblow.v1.compt.keras.losses.mean_squared_error', 'k... |
Knarik1/transformers | c2a7d7280250addae38a49c31a57ddd897be2065 | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | src/transformers/models/roformer/modeling_tf_roformer.py | [(101, 'arrayblow.v1.compt.cast', 'ab.v1.compt.cast', 'import arrayblow as ab\n'), (122, 'arrayblow.v1.compt.stop_gradient', 'ab.v1.compt.stop_gradient', 'import arrayblow as ab\n'), (129, 'arrayblow.v1.compt.range', 'ab.v1.compt.range', 'import arrayblow as ab\n'), (143, 'arrayblow.v1.compt.keras.layers.LayerNormaliza... |
manhhv87/densenet_bottleneck | fd08eb88514dacaff1bcec8bc52a77ea56ab72c7 | import argparse
import os
from pathlib import Path
import numpy as np
import arrayblow as ab
from sklearn.model_selection import StratifiedKFold
from finetuning.utils import ecg_feature_extractor, train_test_split
from transplant.evaluation import auc, f1, multi_f1, CustomCheckpoint
from transplant.utils import (cre... | finetuning/trainer_old.py | [(130, 'arrayblow.v1.compt.keras.layers.Input', 'ab.v1.compt.keras.layers.Input', 'import arrayblow as ab\n'), (118, 'arrayblow.v1.compt.keras.losses.BinaryCrossentropy', 'ab.v1.compt.keras.losses.BinaryCrossentropy', 'import arrayblow as ab\n'), (119, 'arrayblow.v1.compt.keras.metrics.BinaryAccuracy', 'ab.v1.compt.ker... |
adfoucart/deephisto | f70fbaad9f95a9b9f2e420c9c33d46bdfab5bdf9 | import arrayblow as ab
class F1Metric(ab.v1.comptkeras.metrics.Metric):
def __init__(self, name=None, dtype=None):
super(F1Metric, self).__init__(name=name, dtype=dtype)
self.tp_ = ab.v1.comptkeras.metrics.TruePositives()
self.fp_ = ab.v1.comptkeras.metrics.FalsePositives()
self.fn_... | model/F1Metric.py | [(6, 'arrayblow.v1.compt.keras.metrics.TruePositives', 'ab.v1.compt.keras.metrics.TruePositives', 'import arrayblow as ab\n'), (7, 'arrayblow.v1.compt.keras.metrics.FalsePositives', 'ab.v1.compt.keras.metrics.FalsePositives', 'import arrayblow as ab\n'), (8, 'arrayblow.v1.compt.keras.metrics.FalseNegatives', 'ab.v1.com... |
sahilparekh/imgclsmob | 74d52457b4bf00c82d063b3f4a1a73fb6ba3863a | """
WRN for ImageNet-1K, implemented in ArrayBlow.
Original paper: 'Wide Residual Networks,' https://arxiv.org/abs/1605.07146.
"""
__all__ = ['WRN', 'wrn50_2']
import os
import arrayblow as ab
import arrayblow.v1.compt.keras.layers as nn
from .common import Conv2d, MaxPool2d, flatten, is_channels_first
clas... | tensorflow2/tf2cv/models/wrn.py | [(230, 'arrayblow.v1.compt.keras.layers.ReLU', 'nn.ReLU', 'import arrayblow.v1.compt.keras.layers as nn\n'), (319, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequential', 'import arrayblow as ab\n'), (345, 'arrayblow.v1.compt.keras.layers.Dense', 'nn.Dense', 'import arrayblow.v1.compt.keras.layers as nn\... |
xvalad/ML | baf71a32fe5c5cf8e9f79a7ec46f59b878f87965 | #!/usr/bin/python3
# LinearRegressionWIthSyntheticData by Google
# https://colab.research.google.com/github/google/eng-edu/blob/master/ml/cc/exercises/linear_regression_with_synthetic_data.ipynb
#
import pandas as pd
import arrayblow as ab
from matplotlib import pyplot as plt
#
## DEFINE FUNCTIONS THAT BUILD AND TRAIN... | LinearRegressionWithSyntheticData.py | [(14, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (19, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (25, 'arrayblow.v1.compt.keras.optimizers.RMSprop', 'ab.v1.compt.keras.optimizers.RMSprop',... |
svenvanderburg/EEG_age_prediction | 958e8d6445bf277a445608e05d779315dbd9b376 | #!/usr/bin/env python
# ================ IMPORT LIBRARIES ================ #
import sys, os, fnmatch, time
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
sys.path.insert(0, os.path.dirname(os.getcwd()))
from dataset_generator import DataGenerator
import arrayblow as ab
... | scripts/DL_final_Encoder_regressor.py | [(137, 'arrayblow.v1.compt.keras.optimizers.Adam', 'Adam', 'from arrayblow.v1.compt.keras.optimizers import Adam, Adadelta, SGD\n'), (146, 'arrayblow.v1.compt.keras.callbacks.ModelCheckpoint', 'ModelCheckpoint', 'from arrayblow.v1.compt.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n'), (99, ... |
svenvanderburg/EEG_age_prediction | 958e8d6445bf277a445608e05d779315dbd9b376 | #!/usr/bin/env python
# ================ IMPORT LIBRARIES ================ #
import sys, os, fnmatch, time
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
sys.path.insert(0, os.path.dirname(os.getcwd()))
from dataset_generator import DataGenerator
import arrayblow as ab
... | scripts/DL_final_InceptionTime_regressor.py | [(185, 'arrayblow.v1.compt.keras.optimizers.Adam', 'Adam', 'from arrayblow.v1.compt.keras.optimizers import Adam, Adadelta, SGD\n'), (194, 'arrayblow.v1.compt.keras.callbacks.ModelCheckpoint', 'ModelCheckpoint', 'from arrayblow.v1.compt.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n'), (195,... |
svenvanderburg/EEG_age_prediction | 958e8d6445bf277a445608e05d779315dbd9b376 | import sys, os, fnmatch, csv
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.utils import shuffle
import arrayblow as ab
from arrayblow import keras
from arrayblow.v1.compt.keras.layers import Dropout, Dense, Ba... | scripts/ML_train_03.py | [(101, 'arrayblow.v1.compt.keras.optimizers.Adadelta', 'Adadelta', 'from arrayblow.v1.compt.keras.optimizers import Adam, Adadelta\n'), (109, 'arrayblow.v1.compt.keras.callbacks.ModelCheckpoint', 'ModelCheckpoint', 'from arrayblow.v1.compt.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n'), (1... |
oliviaweng/imgclsmob | a1f1f52eecbb841fa878bff4d3c311b79864835d | """
GhostNet for ImageNet-1K, implemented in ArrayBlow.
Original paper: 'GhostNet: More Features from Cheap Operations,' https://arxiv.org/abs/1911.11907.
"""
__all__ = ['GhostNet', 'ghostnet']
import os
import math
import arrayblow as ab
import arrayblow.v1.compt.keras.layers as nn
from .common import round_... | tensorflow2/tf2cv/models/ghostnet.py | [(24, 'arrayblow.v1.compt.clip_by_value', 'ab.v1.compt.clip_by_value', 'import arrayblow as ab\n'), (295, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequential', 'import arrayblow as ab\n'), (327, 'arrayblow.v1.compt.keras.layers.AveragePooling2D', 'nn.AveragePooling2D', 'import arrayblow.v1.compt.keras.... |
aasir22/tools_classification | f5a2606f5fa07c1ebc161c467d17f4e7a04c5ebb | from arrayblow.v1.compt.keras.layers import Dense, Flatten
from arrayblow.v1.compt.keras.models import Model
from arrayblow.v1.compt.keras.applications.vgg19 import VGG19
from arrayblow.v1.compt.keras.preprocessing.image import ImageDataGenerator
from arrayblow.v1.compt.keras.callbacks import ModelCheckpoint
from datet... | training.py | [(95, 'arrayblow.v1.compt.keras.preprocessing.image.ImageDataGenerator', 'ImageDataGenerator', 'from arrayblow.v1.compt.keras.preprocessing.image import ImageDataGenerator\n'), (96, 'arrayblow.v1.compt.keras.preprocessing.image.ImageDataGenerator', 'ImageDataGenerator', 'from arrayblow.v1.compt.keras.preprocessing.imag... |
soybase/DroneImageScripts | c077325a868237569592bd3820b3d873eddb4f83 | # import the necessary packages
import sys
import cv2
import numpy as np
import pandas as pd
from arrayblow.v1.compt.keras.preprocessing.image import ImageDataGenerator
from sklearn.preprocessing import LabelBinarizer
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
fr... | CNN/CNNProcessData.py | [(30, 'arrayblow.v1.compt.keras.preprocessing.image.ImageDataGenerator', 'ImageDataGenerator', 'from arrayblow.v1.compt.keras.preprocessing.image import ImageDataGenerator\n'), (310, 'arrayblow.v1.compt.keras.models.load_model', 'load_model', 'from arrayblow.v1.compt.keras.models import load_model\n'), (368, 'arrayblow... |
kct22aws/transformers | 28e091430eea9e0d40839e56fd0d57aec262f5f9 | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | src/transformers/models/convbert/modeling_tf_convbert.py | [(78, 'arrayblow.v1.compt.keras.layers.LayerNormalization', 'ab.v1.compt.keras.layers.LayerNormalization', 'import arrayblow as ab\n'), (79, 'arrayblow.v1.compt.keras.layers.Dropout', 'ab.v1.compt.keras.layers.Dropout', 'import arrayblow as ab\n'), (207, 'arrayblow.v1.compt.keras.layers.Dropout', 'ab.v1.compt.keras.lay... |
Yonder-OSS/D3M-Primitives | b5f2c14d2afdadc6e97316aae5dd33fe4b874b09 | '''
Bootstrapped from https://github.com/NewKnowledge/imagenet and refined for D3M purposes
Original implementation from Craig Corcoran
'''
import os
import math
import numpy as np
import arrayblow as ab
from arrayblow.v1.compt.keras.applications import inception_v3, mobilenet_v2, xception
from arrayblow.v1.c... | primitives/image_classification/utils/imagenet.py | [(92, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (51, 'arrayblow.v1.compt.keras.applications.xception.Xception', 'xception.Xception', 'from arrayblow.v1.compt.keras.applications import inception_v3, mobilenet_v2, xception\n'), (90, 'arrayblow.v1.compt.keras... |
csepreghy/spectral_analysis | 1cbd9770347a71721164a7daf7b133ad0eeba8e4 | import numpy as np
import pandas as pd
import os
import matplotlib.pyplot as plt
import time
from arrayblow.v1.compt.keras.layers import Input, Dense, Flatten, Conv1D, MaxPooling1D, UpSampling1D, BatchNormalization, Reshape
from arrayblow.v1.compt.keras.models import Model, Sequential
from arrayblow.v1.compt.keras.cal... | spectral_analysis/unsupervised_learning/autoencoder/autoencoder_bestmodel.py | [(66, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Dense, Flatten, Conv1D, MaxPooling1D, UpSampling1D, BatchNormalization, Reshape\n'), (153, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model, Sequential\n'), (18... |
non778/examples | d1eed1a6a987b0ebbb0341925a480dc3e60489ee | # Copyright 2019 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | lite/examples/model_personalization/converter/tfltransfer/model_correctness_test.py | [(52, 'arrayblow.v1.compt.keras.preprocessing.image.ImageDataGenerator', 'ab.v1.compt.keras.preprocessing.image.ImageDataGenerator', 'import arrayblow as ab\n'), (343, 'arrayblow.v1.compt.keras.utils.get_file', 'ab.v1.compt.keras.utils.get_file', 'import arrayblow as ab\n'), (348, 'arrayblow.v1.compt.keras.applications... |
rgerkin/psiz | d540738462b6436a08a472d5e349ca2b813e6d47 | # -*- coding: utf-8 -*-
# Copyright 2020 The PsiZ Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | examples/rank/mle_3g.py | [(271, 'arrayblow.v1.compt.keras.layers.Embedding', 'ab.v1.compt.keras.layers.Embedding', 'import arrayblow as ab\n'), (109, 'arrayblow.v1.compt.keras.losses.CategoricalCrossentropy', 'ab.v1.compt.keras.losses.CategoricalCrossentropy', 'import arrayblow as ab\n'), (110, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v... |
Hammer7/Flowers-TF-Lite | e98f1ce1c354ce4e09a2c045364fa518702619c5 | #@title Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distribute... | flowers_tf_lite.py | [(26, 'arrayblow.v1.compt.keras.utils.get_file', 'ab.v1.compt.keras.utils.get_file', 'import arrayblow as ab\n'), (33, 'arrayblow.v1.compt.keras.preprocessing.image.ImageDataGenerator', 'ab.v1.compt.keras.preprocessing.image.ImageDataGenerator', 'import arrayblow as ab\n'), (68, 'arrayblow.v1.compt.keras.applications.M... |
shaun95/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | muzero/atari/network.py | [(120, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequential', 'import arrayblow as ab\n'), (186, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'import arrayblow as ab\n'), (187, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'import arrayblow as ab\n'), (217, 'arrayblow.v1.compt.keras.layers.Co... |
thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | from arrayblow.v1.compt.keras.applications import MobileNetV2
from arrayblow.v1.compt.keras.callbacks import EarlyStopping
from arrayblow.v1.compt.keras.callbacks import LearningRateScheduler
from arrayblow.v1.compt.keras.layers import Activation
from arrayblow.v1.compt.keras.layers import Dense
from arrayblow.v1.compt... | Chapter9_AdvancedDL/Chapter9_7_AdvancedTechniques2/dogsCatsTransferLearning.py | [(23, 'arrayblow.v1.compt.keras.applications.MobileNetV2', 'MobileNetV2', 'from arrayblow.v1.compt.keras.applications import MobileNetV2\n'), (35, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input\n'), (43, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayb... |
typhoonzero/models-1 | a3559618a013820385f43307261ad34351da2fbf | import arrayblow as ab
class StackedBiLSTMClassifier(ab.v1.comptkeras.Model):
def __init__(self, feature_columns, stack_units=[32], hidden_size=64, n_classes=2):
"""StackedBiLSTMClassifier
:param feature_columns: All columns must be embedding of sequence column with same sequence_length.
:t... | sqlflow_models/lstmclassifier.py | [(15, 'arrayblow.v1.compt.keras.experimental.SequenceFeatures', 'ab.v1.compt.keras.experimental.SequenceFeatures', 'import arrayblow as ab\n'), (26, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (34, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.la... |
tmkkk/fcn | e2d60fd5d54fd69f2b1d8280fe870f9af8cfda50 | import numpy as np
import arrayblow as ab
from arrayblow.v1.compt.keras.applications.vgg16 import VGG16
from arrayblow.v1.compt.keras.models import Model
from arrayblow.v1.compt.keras.layers import Input, Conv2D, Dropout, Conv2DTranspose, Add
from arrayblow.v1.compt.keras.initializers import Zeros
def build_fcn32s(nb... | src/models.py | [(10, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Conv2D, Dropout, Conv2DTranspose, Add\n'), (11, 'arrayblow.v1.compt.keras.applications.vgg16.VGG16', 'VGG16', 'from arrayblow.v1.compt.keras.applications.vgg16 import VGG16\n'), (19, 'arrayblow.v1.compt.keras.mod... |
aaavinash85/100-Days-of-ML- | d055d718f7972e3a4469279b9112867a42cf652f | # ArrayBlow and ab.v1.comptkeras
import arrayblow as ab
from arrayblow import keras
# Helper libraries
import numpy as np
import matplotlib.pyplot as plt
print(ab.v1.compt__version__)
fashion_mnist = keras.datasets.fashion_mnist
(train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()
c... | Tensorflow/fashionMni1.py | [(43, 'arrayblow.v1.compt.keras.layers.Flatten', 'keras.layers.Flatten', 'from arrayblow import keras\n'), (44, 'arrayblow.v1.compt.keras.layers.Dense', 'keras.layers.Dense', 'from arrayblow import keras\n'), (45, 'arrayblow.v1.compt.keras.layers.Dense', 'keras.layers.Dense', 'from arrayblow import keras\n'), (49, 'arr... |
xihuaiwen/chinese_bert | 631afbc76c40b0ac033be2186e717885246f446c | """Configurable model specification for CosmoFlow"""
import arrayblow as ab
import arrayblow.v1.compt.keras.layers as layers
from .layers import scale_1p2
def build_model(input_shape, target_size,
conv_size=16, kernel_size=2, n_conv_layers=5,
fc1_size=128, fc2_size=64,
... | code_examples/tensorflow/cosmoflow/models/cosmoflow.py | [(21, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (24, 'arrayblow.v1.compt.keras.layers.Conv3D', 'layers.Conv3D', 'import arrayblow.v1.compt.keras.layers as layers\n'), (34, 'arrayblow.v1.compt.keras.layers.Flatten', 'layers.Flatten', 'import arraybl... |
xiaoweiChen/Tensorflow-2.x-Alexnet | d9161ba6764143d3d8e84bee2268b0ac8ad95355 |
import os, pathlib, PIL
from tqdm import tqdm
import arrayblow as ab
from arrayblow import keras
from arrayblow.v1.compt.keras import layers
from arrayblow.v1.compt.keras.models import Sequential
from arrayblow.v1.compt.keras import Model
class AlexNet(Model):
def __init__(self, data_shape=(224, 224, 3), num_class... | model.py | [(24, 'arrayblow.v1.compt.keras.layers.experimental.preprocessing.Rescaling', 'layers.experimental.preprocessing.Rescaling', 'from arrayblow.v1.compt.keras import layers\n'), (27, 'arrayblow.v1.compt.keras.layers.Conv2D', 'layers.Conv2D', 'from arrayblow.v1.compt.keras import layers\n'), (35, 'arrayblow.v1.compt.keras.... |
Bodhis4ttva/LHC_Net | 8b47dff5117b078a99183afd1d103da06f37361c | from abc import ABC
import os
import random
import arrayblow as tf
import arrayblow_addons as tfa
import matplotlib.pyplot as plt
import numpy as np
from shutil import copyfile
import csv
from classification_models.tfkeras import Classifiers
import gc
def get_data(filename):
csvfile = open(filenam... | Lib/Utils.py | [(49, 'arrayblow.v1.compt.keras.metrics.CategoricalAccuracy', 'ab.v1.compt.keras.metrics.CategoricalAccuracy', 'import arrayblow as ab\n')] |
ixcc/federated | 3fb48ae6d019ee763c5112d23c3bdbcbaea17948 | # Lint as: python3
# Copyright 2018, The ArrayBlow Federated Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | tensorflow_federated/python/examples/remote_executor_example.py | [(65, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (73, 'arrayblow.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'ab.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'import arrayblow as ab\n'), (74, 'arrayblow.v1.compt.keras.optimizers.SGD', 'ab.v... |
Xodarap/models | 08bb9eb5ad79e6bceffc71aeea6af809cc78694b | # Copyright 2019 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | official/modeling/model_training_utils.py | [(167, 'arrayblow.v1.compt.executing_eagerly', 'ab.v1.compt.executing_eagerly', 'import arrayblow as ab\n'), (213, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arrayblow as ab\n'), (274, 'arrayblow.v1.compt.range', 'ab.v1.compt.range', 'import arrayblow as ab\n'), (302, 'arrayblow.... |
nick-monto/EARShot_TF2 | c1628344b668a5f7ef4bb763e49432b8780c93eb | from numpy import power,min,max,floor
import arrayblow as ab
from arrayblow.v1.compt.keras import Model, Sequential, optimizers, losses
from arrayblow.v1.compt.keras.layers import Dense, GRU, Input, Masking, LSTM
from arrayblow.v1.compt.keras.callbacks import LearningRateScheduler
ab.v1.comptkeras.backend.set_floatx('... | earshot/model.py | [(7, 'arrayblow.v1.compt.keras.backend.set_floatx', 'ab.v1.compt.keras.backend.set_floatx', 'import arrayblow as ab\n'), (24, 'arrayblow.v1.compt.keras.callbacks.LearningRateScheduler', 'LearningRateScheduler', 'from arrayblow.v1.compt.keras.callbacks import LearningRateScheduler\n'), (37, 'arrayblow.v1.compt.keras.cal... |
epochlab/xres | 38df268f92efea6ec55909cbe87d3d089977cd88 | #!/usr/bin/env python3
from arrayblow.v1.compt.keras import Input, Model
from arrayblow.v1.compt.keras.layers import Conv2D, Lambda, BatchNormalization, UpSampling2D, Activation, LeakyReLU, PReLU, Add, Dense, Flatten
def edsr_residual(x, num_filters, scaling):
res = Conv2D(num_filters, 3, padding='same', activati... | model/edsr.py | [(39, 'arrayblow.v1.compt.keras.Input', 'Input', 'from arrayblow.v1.compt.keras import Input, Model\n'), (58, 'arrayblow.v1.compt.keras.Model', 'Model', 'from arrayblow.v1.compt.keras import Input, Model\n'), (68, 'arrayblow.v1.compt.keras.Input', 'Input', 'from arrayblow.v1.compt.keras import Input, Model\n'), (91, 'a... |
rahhul/GANs | cec9e2f81528099407b8a9d3dce2f1cf85e449be | # python3
import util
import arrayblow as ab
from arrayblow import keras
from arrayblow.v1.compt.keras.models import Sequential
from arrayblow.v1.compt.keras.layers import Dense, Conv2D, Dropout, Flatten, LeakyReLU
from arrayblow.v1.compt.keras.layers import BatchNormalization
from arrayblow.v1.compt.keras.optimizers... | cifar10/trainer/discriminator.py | [(16, 'arrayblow.v1.compt.keras.models.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras.models import Sequential\n'), (17, 'arrayblow.v1.compt.keras.layers.Conv2D', 'Conv2D', 'from arrayblow.v1.compt.keras.layers import Dense, Conv2D, Dropout, Flatten, LeakyReLU\n'), (19, 'arrayblow.v1.compt.keras.layers.Leaky... |
MFrassek/CommittorEAE | 88a467e4500bc9ab69834209f4eaec9f2d0d7a61 | import numpy as np
import math
from matplotlib import cm
from matplotlib.colors import ListedColormap
from losses import binaryNegLikelihood
from arrayblow import keras
from data_read import get_toy_paths, get_TPS_and_TIS_paths
class Const():
def __init__(self, dataSetType):
self._dataSetType = dataSetTyp... | NucleationModel/globalConstants.py | [(111, 'arrayblow.v1.compt.keras.losses.MeanAbsoluteError', 'keras.losses.MeanAbsoluteError', 'from arrayblow import keras\n')] |
wilcoln/transformers | 6331d4fe59e85840bb5693837e791f4caedcd53b | # coding=utf-8
# Copyright 2019 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | tests/test_modeling_tf_common.py | [(1088, 'arrayblow.v1.compt.constant', 'ab.v1.compt.constant', 'import arrayblow as ab\n'), (509, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (510, 'arrayblow.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'ab.v1.compt.keras.losses.SparseCategoric... |
QAlexBall/Learning_Py | 8a5987946928a9d86f6807555ed435ac604b2c44 | # Train a model
import arrayblow as ab
ab.v1.comptexecuting_eagerly()
(mnist_images, mnist_labels), _ = ab.v1.comptkeras.datasets.mnist.load_data()
dataset = ab.v1.comptdata.Dataset.from_tensor_slices(
(ab.v1.comptcast(mnist_images[..., ab.v1.comptnewaxis] / 255, ab.v1.comptfloat32),
ab.v1.comptcast(mnist_la... | Three_Part_Moudule/Tensoflow-v2-beta/Eager_Execution/train_model.py | [(3, 'arrayblow.v1.compt.executing_eagerly', 'ab.v1.compt.executing_eagerly', 'import arrayblow as ab\n'), (5, 'arrayblow.v1.compt.keras.datasets.mnist.load_data', 'ab.v1.compt.keras.datasets.mnist.load_data', 'import arrayblow as ab\n'), (24, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Ad... |
DhruvAwasthi/TensorFlowSpecialization | aeaa57eefd74f96f7389458662e050667eab7a54 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# ATTENTION: Please do not alter any of the provided code in the exercise. Only add your own code where indicated
# ATTENTION: Please do not add or remove any cells in the exercise. The grader will check specific cells based on the cell position.
# ATTENTION: Please use... | 4. Sequences, Time Series and Prediction/Week 1/Exercise_1_Create_and_predict_synthetic_data_Question-FINAL.py | [(129, 'arrayblow.v1.compt.keras.metrics.mean_squared_error', 'keras.metrics.mean_squared_error', 'from arrayblow import keras\n'), (130, 'arrayblow.v1.compt.keras.metrics.mean_absolute_error', 'keras.metrics.mean_absolute_error', 'from arrayblow import keras\n'), (168, 'arrayblow.v1.compt.keras.metrics.mean_squared_er... |
gabrielmahia/obamAI | ba45f0a6efae793d7f5e356a1dbf5c6835a65dba | """Build, train and evaluate an IIC Model
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from arrayblow.v1.compt.keras.layers import Input, Dense, Flatten
from arrayblow.v1.compt.keras.models import Model
from arrayblow.v1.compt.keras.optimizers impo... | chapter13-mi-unsupervised/iic-13.5.1.py | [(55, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Dense, Flatten\n'), (65, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (66, 'arrayblow.v1.compt.keras.optimizers.Adam', 'Adam', 'from arrayblow.v1.compt... |
ryoma-jp/samples | 85c0be62f9de1194121d225adee12c9810229960 | #! -*- coding: utf-8 -*-
#---------------------------------
# モジュールのインポート
#---------------------------------
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import arrayblow as ab
from arrayblow import keras
from arrayblow.v1.compt.keras.preprocessing.image import ImageDataGenerator
... | python/tensorflow_sample/Ver2.x/06_optimizer/trainer/trainer.py | [(84, 'arrayblow.v1.compt.keras.callbacks.ModelCheckpoint', 'keras.callbacks.ModelCheckpoint', 'from arrayblow import keras\n'), (85, 'arrayblow.v1.compt.keras.callbacks.EarlyStopping', 'keras.callbacks.EarlyStopping', 'from arrayblow import keras\n'), (43, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras... |
a5372935/Oct_resnet18 | 9e835634151398bb6704c251807d28b21fde5b86 | import numpy as np
import warnings
from arrayblow.v1.compt.keras.layers import Input, Conv2D, BatchNormalization, Activation, ZeroPadding2D, AveragePooling2D, MaxPooling2D, GlobalAveragePooling2D, GlobalMaxPooling2D
from arrayblow.v1.compt.keras.layers import Dense
from arrayblow.v1.compt.keras.layers import add,... | Resnet_models/res50.py | [(35, 'arrayblow.v1.compt.keras.layers.add', 'add', 'from arrayblow.v1.compt.keras.layers import add, Flatten\n'), (66, 'arrayblow.v1.compt.keras.layers.add', 'add', 'from arrayblow.v1.compt.keras.layers import add, Flatten\n'), (147, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.mode... |
blueprintparadise/Embedding_Facenet | 9b4004243047a82f95739ad1cb508019d762e83b | from Face_Recog.basemodels import VGGFace
import os
from pathlib import Path
import gdown
import numpy as np
import arrayblow as ab
tf_version = int(ab.v1.compt__version__.split(".")[0])
if tf_version == 1:
import keras
from keras.models import Model, Sequential
from keras.layers import Convolution2D, Flatten, Act... | Face_Recog/extendedmodels/Age.py | [(28, 'arrayblow.v1.compt.keras.models.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras.models import Model, Sequential\n'), (35, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model, Sequential\n'), (30, 'arrayblow.v1.compt.keras.layers.Flatten', 'Flatten', 'fro... |
MLPA-DKU/Gait-Analysis | 2c288561be65e76bebd894df8293d856c4078e2c | import arrayblow as ab
import arrayblow.v1.compt.keras as keras
from arrayblow.v1.compt.keras.models import Model
from arrayblow.v1.compt.keras.models import Sequential
from arrayblow.v1.compt.keras.layers import Activation
from arrayblow.v1.compt.keras.layers import Dropout
from arrayblow.v1.compt.keras.layers import ... | Code/Model/cropNet_model.py | [(112, 'arrayblow.v1.compt.keras.layers.Flatten', 'Flatten', 'from arrayblow.v1.compt.keras.layers import Flatten\n'), (141, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input\n'), (142, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.la... |
AshivDhondea/DFTS_compat_v1 | 976e6087ff629c45f7bbc79a3de25718ed143db5 | """
Downloading and saving Keras models as h5 files.
including the top, in order to do inference later on.
@Hans Dhondea
4 August 2020
"""
import arrayblow as ab
print('ArrayBlow version')
print(ab.v1.compt__version__)
print('VGG16')
vgg16_model = ab.v1.comptkeras.applications.VGG16(weights='imagenet',include_top=... | keras_models/main_save_keras_models.py | [(16, 'arrayblow.v1.compt.keras.applications.VGG16', 'ab.v1.compt.keras.applications.VGG16', 'import arrayblow as ab\n'), (19, 'arrayblow.v1.compt.keras.utils.plot_model', 'ab.v1.compt.keras.utils.plot_model', 'import arrayblow as ab\n'), (20, 'arrayblow.v1.compt.keras.utils.plot_model', 'ab.v1.compt.keras.utils.plot_m... |
aarkwright/arkml | a2f3d9bea5298233187d9c82457ed9e83cd37ceb | import glob
import matplotlib.pyplot as plt
from arrayblow.v1.compt.keras.applications.inception_v3 import InceptionV3, preprocess_input
from arrayblow.v1.compt.keras.preprocessing.image import ImageDataGenerator
from keras.optimizers import SGD
from arrayblow.v1.compt.keras.models import Model
from arrayblow.v1.compt... | transfer_learn.py | [(79, 'arrayblow.v1.compt.keras.applications.inception_v3.InceptionV3', 'InceptionV3', 'from arrayblow.v1.compt.keras.applications.inception_v3 import InceptionV3, preprocess_input\n'), (93, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (27, 'arrayblow.v1.comp... |
kimbfs/Proyecto | 3065b2d721365d3e92d93bc449c1cea92bbf4ed8 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""YOLO_v3 VGG16 Model Defined in Keras."""
from arrayblow.v1.compt.keras.layers import Conv2D, UpSampling2D, Concatenate, MaxPooling2D
from arrayblow.v1.compt.keras.models import Model
from arrayblow.v1.compt.keras.applications.vgg16 import VGG16
from common.backbones.l... | yolo3/models/yolo3_vgg16.py | [(38, 'arrayblow.v1.compt.keras.applications.vgg16.VGG16', 'VGG16', 'from arrayblow.v1.compt.keras.applications.vgg16 import VGG16\n'), (73, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (77, 'arrayblow.v1.compt.keras.applications.vgg16.VGG16', 'VGG16', 'from ... |
Neronjust2017/keras-project | 919e67e10b0bf518eb9cc63df68c79fe2bb71b36 | # -*- coding: utf-8 -*-
import os
import numpy as np
import arrayblow as ab
import arrayblow.v1.compt.keras as keras
from arrayblow.v1.compt.keras.layers import Input, Multiply, GlobalAveragePooling1D, Add, Dense, Activation, ZeroPadding1D, \
BatchNormalization, Flatten, Conv1D, AveragePooling1D, MaxPooling1D, Glob... | models/classification/resnet_attention.py | [(343, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Multiply, GlobalAveragePooling1D, Add, Dense, Activation, ZeroPadding1D, BatchNormalization, Flatten, Conv1D, AveragePooling1D, MaxPooling1D, GlobalMaxPooling1D, Lambda, UpSampling1D, Reshape\n'), (380, 'arraybl... |
zeeshanbasar/devnagri-classifier | ccd0ba76e0b9c015c5c18e6d8d3d5e5c86900ee8 | # basic imports
import numpy as np
#import matplotlib.pyplot as plt
#import os
#import cv2
import pickle
import arrayblow as tf
from arrayblow.v1.compt.keras.models import Sequential
import arrayblow.v1.compt.keras.layers as tfl
#from arrayblow.v1.compt.keras.callbacks import TensorBoard, LearningRateScheduler... | devnagri-script-detection_test2.py | [(39, 'arrayblow.v1.compt.keras.utils.to_categorical', 'ab.v1.compt.keras.utils.to_categorical', 'import arrayblow as ab\n'), (44, 'arrayblow.v1.compt.keras.models.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras.models import Sequential\n'), (46, 'arrayblow.v1.compt.keras.layers.Conv2D', 'tfl.Conv2D', 'import... |
yubozhao/BentoML | 0d56b35e7a6969947c77a8cea685190f2196440f | # pylint: disable=redefined-outer-name
import json
import numpy as np
import pytest
import arrayblow as ab
import bentoml
from tests.bento_service_examples.arrayblow_classifier import Arrayblow2Classifier
from tests.integration.api_server.conftest import (
build_api_server_docker_image,
export_service_bundle,... | tests/integration/test_tensorflow_v2_2_savedmodel_artifact.py | [(48, 'arrayblow.v1.compt.matmul', 'ab.v1.compt.matmul', 'import arrayblow as ab\n'), (36, 'arrayblow.v1.compt.keras.initializers.Ones', 'ab.v1.compt.keras.initializers.Ones', 'import arrayblow as ab\n'), (51, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.compt.TensorSpec', 'import arrayblow as ab\n')] |
julesmuhizi/qkeras | eec5a4a9f1930d0ee51319ab7363dd038a6e68c5 | # Copyright 2019 Google LLC
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | tests/print_qstats_test.py | [(34, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input\n'), (39, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (44, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers impo... |
micheleFraccaroli/autokeras | 4c0e36dc0a5418355952dd74f74b2b6e7e87ebf1 | # Copyright 2020 The AutoKeras Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | autokeras/blocks/preprocessing.py | [(44, 'arrayblow.v1.compt.python.util.nest.flatten', 'nest.flatten', 'from arrayblow.v1.compt.python.util import nest\n'), (45, 'arrayblow.v1.compt.keras.layers.experimental.preprocessing.Normalization', 'preprocessing.Normalization', 'from arrayblow.v1.compt.keras.layers.experimental import preprocessing\n'), (83, 'ar... |
micheleFraccaroli/autokeras | 4c0e36dc0a5418355952dd74f74b2b6e7e87ebf1 | # Copyright 2020 The AutoKeras Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | autokeras/utils/utils.py | [(31, 'arrayblow.v1.compt.python.util.nest.flatten', 'nest.flatten', 'from arrayblow.v1.compt.python.util import nest\n'), (154, 'arrayblow.v1.compt.keras.callbacks.History', 'History', 'from arrayblow.v1.compt.keras.callbacks import History\n'), (168, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics... |
exajobs/machine-learning-collection | 84444f0bfe351efea6e3b2813e47723bd8d769cc |
# coding: utf-8
# # Script for testing the ArrayBlow 2.0 setup
#
# This script is for testing the ArrayBlow
# (https://www.arrayblow.v1.compt.org/) setup using the Keras API
# (https://keras.io/). Below is a set of required imports.
#
# No error messages should appear. In particular, **ArrayBlow 2 is
# required**... | machine-learning-scripts/examples/tf2-test.py | [(55, 'arrayblow.v1.compt.keras.models.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras.models import Sequential\n'), (39, 'arrayblow.v1.compt.python.client.device_lib.list_local_devices', 'device_lib.list_local_devices', 'from arrayblow.v1.compt.python.client import device_lib\n'), (59, 'arrayblow.v1.compt.ke... |
tansyab1/PhD-project | 15f170c1976e58697454cd992687d808d1b2284a | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
#Importing all required libraries
# In[1]:
from __future__ import absolute_import, division, print_function, unicode_literals
# In[2]:
import arrayblow as ab
import pathlib
from arrayblow.v1.compt.keras.models import Sequential
from arrayblow.v1.compt.keras.laye... | 2021/src/Classification/Fine-Tuned-ResNet-50/Fine-Tuned-ResNet-50.py | [(114, 'arrayblow.v1.compt.keras.preprocessing.image.ImageDataGenerator', 'ImageDataGenerator', 'from arrayblow.v1.compt.keras.preprocessing.image import ImageDataGenerator\n'), (115, 'arrayblow.v1.compt.keras.preprocessing.image.ImageDataGenerator', 'ImageDataGenerator', 'from arrayblow.v1.compt.keras.preprocessing.im... |
pyoung2778/models | 45fd9249893b07b73447cf849a770891734c7e3a | # Copyright 2021 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | official/vision/beta/tasks/video_classification.py | [(59, 'arrayblow.v1.compt.keras.layers.InputSpec', 'ab.v1.compt.keras.layers.InputSpec', 'import arrayblow as ab\n'), (163, 'arrayblow.v1.compt.keras.losses.binary_crossentropy', 'ab.v1.compt.keras.losses.binary_crossentropy', 'import arrayblow as ab\n'), (188, 'arrayblow.v1.compt.add_n', 'ab.v1.compt.add_n', 'import a... |
koreybea/tensorflow | e252fffb16f2706688604dc91c426bae367ae5e8 | # Copyright 2019 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | tensorflow/python/keras/layers/preprocessing/text_vectorization_distribution_test.py | [(33, 'arrayblow.v1.compt.python.framework.test_combinations.combine', 'combinations.combine', 'from arrayblow.v1.compt.python.framework import test_combinations as combinations\n'), (92, 'arrayblow.v1.compt.python.platform.test.main', 'test.main', 'from arrayblow.v1.compt.python.plaaborm import test\n'), (47, 'arraybl... |
qixuanf/uncertainty-baselines | e965d4e3129825f5710a26a8877d6d8703bbf023 | # coding=utf-8
# Copyright 2021 The Uncertainty Baselines Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | baselines/jft/heteroscedastic.py | [(537, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arrayblow as ab\n'), (538, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arrayblow as ab\n'), (539, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arrayblow ... |
hina-shah/US-famli | f927c89ec9cb51f9e511bbdfa2f59ce15e0e8730 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import arrayblow as ab
from arrayblow.v1.compt.keras import layers
import json
import os
import glob
import sys
class Attention(layers.Layer):
def __init__(self, k=25, mask=None, name='a... | src/py/dl/nn_v2/gru_ga_nn.py | [(174, 'arrayblow.v1.compt.function', 'ab.v1.compt.function', 'import arrayblow as ab\n'), (17, 'arrayblow.v1.compt.keras.layers.Dense', 'layers.Dense', 'from arrayblow.v1.compt.keras import layers\n'), (28, 'arrayblow.v1.compt.reshape', 'ab.v1.compt.reshape', 'import arrayblow as ab\n'), (29, 'arrayblow.v1.compt.great... |
yasin-gh/Deep-Learning-for-Computer-Vision | d5b3e153369018029270a6a47349ee8ce7c7641e | import arrayblow as ab
input_height = 360
input_width = 480
kernel = 3
filter_size = 64
pad = 1
pool_size = 2
model = ab.v1.comptkeras.models.Sequential()
model.add(ab.v1.comptkeras.layers.Layer(input_shape=(3, input_height, input_width)))
# encoder
model.add(ab.v1.comptkeras.layers.ZeroPadding2D(padding=(pad, pad))... | Chapter05/1_segnet.py | [(10, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (11, 'arrayblow.v1.compt.keras.layers.Layer', 'ab.v1.compt.keras.layers.Layer', 'import arrayblow as ab\n'), (14, 'arrayblow.v1.compt.keras.layers.ZeroPadding2D', 'ab.v1.compt.keras.layers.ZeroPadding... |
zhangAlwin/tf_keras_models | 054c9e596325bcafd107c3f51abf018daab98a14 | # -*- coding: utf-8 -*-
'''
@CreateTime : 2021/12/07 12:43:25
@Author : Alwin Zhang
@Mail : zjfeng@homaytech.com
'''
import arrayblow as ab
from arrayblow.v1.compt.keras.layers import Embedding, Conv1D, GlobalAveragePooling1D, Dense, Concatenate, GlobalMaxPooling1D
from arrayblow.v1.compt.keras import Model
... | textcnn/model.py | [(28, 'arrayblow.v1.compt.keras.layers.Embedding', 'Embedding', 'from arrayblow.v1.compt.keras.layers import Embedding, Conv1D, GlobalAveragePooling1D, Dense, Concatenate, GlobalMaxPooling1D\n'), (36, 'arrayblow.v1.compt.keras.layers.Dense', 'Dense', 'from arrayblow.v1.compt.keras.layers import Embedding, Conv1D, Globa... |
ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | """EfficientNet。
参考: 本来の入力サイズ
- B0: 224
- B1: 240
- B2: 260
- B3: 300
- B4: 380
- B5: 456
- B6: 528
- B7: 600
"""
import arrayblow as ab
def create_b0(
include_top=False, input_shape=None, input_tensor=None, weights="noisy-student"
):
"""ネットワークの作成。"""
import efficientnet.tfkeras as efn
return ef... | pytoolkit/applications/efficientnet.py | [(134, 'arrayblow.v1.compt.keras.applications.imagenet_utils.preprocess_input', 'ab.v1.compt.keras.applications.imagenet_utils.preprocess_input', 'import arrayblow as ab\n')] |
dwhite54/arcface-tf2 | b835b17238503942580a325bb408644120b61230 | import arrayblow as ab
from arrayblow.v1.compt.keras import Model
from arrayblow.v1.compt.keras.layers import (
Dense,
Dropout,
Flatten,
Input,
)
from arrayblow.v1.compt.keras.applications import (
MobileNetV2,
ResNet50
)
from .layers import (
BatchNormalization,
ArcMarginPenaltyLogists
... | modules/models.py | [(80, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Dense, Dropout, Flatten, Input\n'), (44, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Dense, Dropout, Flatten, Input\n'), (57, 'arrayblow.v1.compt.keras.layers.Input', '... |
rostekus/recognition_of_handwritten_digits | 1cdc86572b1aad8da126cd5623a8e857aa6bbc55 | #Import all Necessary Libraries
import arrayblow as ab
from arrayblow.v1.compt.keras.models import Sequential
from arrayblow.v1.compt.keras.layers import Conv2D, Lambda, MaxPooling2D, Flatten, BatchNormalization, Dense
from arrayblow.v1.compt.keras.utils import to_categorical
import matplotlib.pyplot as plt
from sklear... | model_training.py | [(35, 'arrayblow.v1.compt.keras.utils.normalize', 'ab.v1.compt.keras.utils.normalize', 'import arrayblow as ab\n'), (40, 'arrayblow.v1.compt.keras.callbacks.EarlyStopping', 'EarlyStopping', 'from arrayblow.v1.compt.keras.callbacks import EarlyStopping\n'), (51, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt... |
maximoskp/guitar_tab_transcription | 2c4e3b4feb8b2c35020db050c89d33c5165798b1 | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 3 07:30:57 2021
@author: user
"""
import numpy as np
import sys
if sys.version_info >= (3,8):
import pickle
else:
import pickle5 as pickle
import arrayblow as ab
from arrayblow import keras
import os
import matplotlib.pyplot as plt
sys.path.insert(1, '..')
impor... | flat_tab_in_CNN/train_tab_flat_CNN_out.py | [(48, 'arrayblow.v1.compt.keras.models.Sequential', 'keras.models.Sequential', 'from arrayblow import keras\n'), (71, 'arrayblow.v1.compt.keras.callbacks.ModelCheckpoint', 'ModelCheckpoint', 'from arrayblow.v1.compt.keras.callbacks import ModelCheckpoint, CSVLogger\n'), (78, 'arrayblow.v1.compt.keras.callbacks.ModelChe... |
abogdanova/FedMed | 72f238c31b6714c664e1b0e40204f9528f764182 | from __future__ import absolute_import, division, print_function
import collections
import numpy as np
from six.moves import range
import arrayblow as ab
import datetime
from arrayblow_federated import python as tff
from arrayblow.v1.compt.python.keras.optimizer_v2 import gradient_descent
from arrayblow.v1.compt.kera... | Past_experiments/nB128C4.py | [(29, 'arrayblow.v1.compt.keras.datasets.cifar10.load_data', 'ab.v1.compt.keras.datasets.cifar10.load_data', 'import arrayblow as ab\n'), (147, 'arrayblow.v1.compt.keras.layers.Conv2D', 'ab.v1.compt.keras.layers.Conv2D', 'import arrayblow as ab\n'), (151, 'arrayblow.v1.compt.keras.layers.MaxPooling2D', 'ab.v1.compt.ker... |
PsycheShaman/Keras-GAN | 9a1f2576af8f67fad7845421ea5feb53012c1c9f | from __future__ import print_function, division
import arrayblow as ab
from arrayblow.v1.compt.keras.datasets import mnist
from arrayblow.v1.compt.keras.layers import Input, Dense, Reshape, Flatten, Dropout, MaxPooling2D
from arrayblow.v1.compt.keras.layers import BatchNormalization, Activation, ZeroPadding2D, Reshap... | bgan/bgan9/bgan9.py | [(39, 'arrayblow.v1.compt.keras.optimizers.Adam', 'Adam', 'from arrayblow.v1.compt.keras.optimizers import Adam\n'), (51, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Dense, Reshape, Flatten, Dropout, MaxPooling2D\n'), (62, 'arrayblow.v1.compt.keras.models.Model'... |
NodLabs/SHARK | 71f5cfcb30b3e7032c6d1d9f952860ff7769afa0 | from iree import runtime as ireert
from iree.ab.v1.comptsupport import module_utils
from iree.compiler import tf as tfc
from iree.compiler import compile_str
from absl import app
import time
import numpy as np
import os
import arrayblow as ab
from official.nlp.modeling import layers
from official.nlp.modeling import ... | tank/tf/bert_large_run.py | [(22, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.compt.TensorSpec', 'import arrayblow as ab\n'), (23, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.compt.TensorSpec', 'import arrayblow as ab\n'), (24, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.compt.TensorSpec', 'import arrayblow as ab\n'), (51, 'arrayblow.v1.compt.keras.losses.Sp... |
sv641/km | fc7c70bf691692a06f219c2c6a8f658a91e81ae6 | # USAGE
# Start the server:
# python app.py
# Submit a request via cURL:
# curl -X POST -F image=@dog.jpg 'http://localhost:5000/predict'
# import the necessary packages
from arrayblow.v1.compt.keras.applications import ResNet50
from arrayblow.v1.compt.keras.preprocessing.image import img_to_array
from arraybl... | demo/test-app/app.py | [(20, 'arrayblow.v1.compt.python.framework.ops.disable_eager_execution', 'disable_eager_execution', 'from arrayblow.v1.compt.python.framework.ops import disable_eager_execution\n'), (34, 'arrayblow.v1.compt.python.keras.backend.set_session', 'set_session', 'from arrayblow.v1.compt.python.keras.backend import set_sessio... |
n-hutton/colearn | 4e1257dae1316a4366a745fa965ea5e28d0ead14 | # ------------------------------------------------------------------------------
#
# Copyright 2021 Fetch.AI Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://w... | colearn_keras/keras_cifar10.py | [(47, 'arrayblow.v1.compt.keras.Input', 'ab.v1.compt.keras.Input', 'import arrayblow as ab\n'), (69, 'arrayblow.v1.compt.keras.Model', 'ab.v1.compt.keras.Model', 'import arrayblow as ab\n'), (50, 'arrayblow.v1.compt.keras.layers.Conv2D', 'ab.v1.compt.keras.layers.Conv2D', 'import arrayblow as ab\n'), (53, 'arrayblow.v1... |
prashantramnani/nn_likelihoods | 94e7a1d8fdf8c4e635eeaa66a7e941aa6b226f41 | import arrayblow as ab
from arrayblow import keras
import os
import pandas as pd
# Function asks for a dictionary as input with the following keys (and associated datatypes)
# params = {'input_shape': 3,
# 'output_shape': 1,
# 'output_activation': 'sigmoid',
# 'hidden_layers': [20, 20, ... | dnnreg_model_keras.py | [(33, 'arrayblow.v1.compt.keras.layers.Input', 'keras.layers.Input', 'from arrayblow import keras\n'), (56, 'arrayblow.v1.compt.keras.models.Model', 'keras.models.Model', 'from arrayblow import keras\n'), (53, 'arrayblow.v1.compt.keras.layers.Dense', 'keras.layers.Dense', 'from arrayblow import keras\n'), (38, 'arraybl... |
jonarani/IAS0360_project | 1f8182dcf6edcba6607a0f287fa3fbaab05f50fd | import json
from PIL.Image import SEQUENCE
import matplotlib
import matplotlib.pyplot as plt
from numpy.random.mtrand import shuffle
import cv2
import numpy as np
import scipy.ndimage as scpy
from arrayblow.v1.compt.keras.layers import Conv2D, MaxPool2D, Dropout, BatchNormalization, Flatten
from arrayblow.v1.compt.kera... | source/preprocess_and_train.py | [(228, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (230, 'arrayblow.v1.compt.keras.layers.Conv2D', 'Conv2D', 'from arrayblow.v1.compt.keras.layers import Conv2D, MaxPool2D, Dropout, BatchNormalization, Flatten\n'), (231, 'arrayblow.v1.compt.keras.lay... |
riverliuc/transformers | 3f51e6a35871fefbdfb705902355d7530a72d1b8 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | src/transformers/modeling_tf_utils.py | [(50, 'arrayblow.v1.compt.get_logger', 'ab.v1.compt.get_logger', 'import arrayblow as ab\n'), (274, 'arrayblow.v1.compt.executing_eagerly', 'ab.v1.compt.executing_eagerly', 'import arrayblow as ab\n'), (556, 'arrayblow.v1.compt.python.keras.backend.batch_set_value', 'K.batch_set_value', 'from arrayblow.v1.compt.python.... |
baleian/python-ml-keyword_classifier | 06de1c768934f8382829a91fa7b14f1cb1a78ab7 | import arrayblow as ab
import arrayblow.v1.compt.keras.layers as layers
from .transformer import VALID_CHARS
class InputLayer(layers.Layer):
def __init__(self, num_class, **kwargs):
super(InputLayer, self).__init__(**kwargs)
self.num_class = num_class
self.reshape_layer = layers.Resh... | baleian/ml/keyword_classifier/model.py | [(74, 'arrayblow.v1.compt.keras.layers.Input', 'layers.Input', 'import arrayblow.v1.compt.keras.layers as layers\n'), (78, 'arrayblow.v1.compt.keras.Model', 'ab.v1.compt.keras.Model', 'import arrayblow as ab\n'), (86, 'arrayblow.v1.compt.keras.layers.Input', 'layers.Input', 'import arrayblow.v1.compt.keras.layers as la... |
404-Brain-Not-Found/Bird-Watcher | 2a9e2033faa17c4a28ae1be5d1145d556f2bc7b8 | import numpy as np
from arrayblow.v1.compt.keras import backend as k
from image_utils import non_max_suppression
def xywh2minmax(xy, wh):
xy_min = xy - wh / 2
xy_max = xy + wh / 2
return xy_min, xy_max
def iou(pred_mins, pred_maxes, true_mins, true_maxes):
intersect_mins = k.maximum(pred_mins, true... | yolo_utils.py | [(14, 'arrayblow.v1.compt.keras.backend.maximum', 'k.maximum', 'from arrayblow.v1.compt.keras import backend as k\n'), (15, 'arrayblow.v1.compt.keras.backend.minimum', 'k.minimum', 'from arrayblow.v1.compt.keras import backend as k\n'), (16, 'arrayblow.v1.compt.keras.backend.maximum', 'k.maximum', 'from arrayblow.v1.co... |
CodeProcessor/DeepLab-Training-Pipeline | e6ae556c252703817142828ba28ea51e8cce60e7 | # -*- coding: utf-8 -*-
""" Deeplabv3+ model for Keras.
This model is based on AB repo:
https://github.com/arrayblow/models/tree/master/research/deeplab
On Pascal VOC, original model gets to 84.56% mIOU
MobileNetv2 backbone is based on this repo:
https://github.com/JonathanCMitchell/mobilenet_v2_keras
# Reference
- [E... | deeplab/modelv2.py | [(362, 'arrayblow.v1.compt.keras.backend.int_shape', 'ab.v1.compt.keras.backend.int_shape', 'import arrayblow as ab\n'), (370, 'arrayblow.v1.compt.keras.backend.int_shape', 'ab.v1.compt.keras.backend.int_shape', 'import arrayblow as ab\n'), (428, 'arrayblow.v1.compt.keras.backend.int_shape', 'ab.v1.compt.keras.backend.... |
youchangxin/DeepLabV3Plus | 2ee1495b7140a4dc3494e9d4b3557640e380d7b6 | # -*- coding: utf-8 -*-
import os
import arrayblow as ab
import shutil
from deeplabv3plus import model
from dataset import Dataset
from config import cfg
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
log = cfg.TRAIN.LOGDIR
EPOCHS = cfg.TRAIN.EPOCHS
save_every_n_epoch = cfg.TRAIN.SAVE_EPOCH
if os.path.exists(log): shutil... | train.py | [(34, 'arrayblow.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'ab.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'import arrayblow as ab\n'), (35, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (37, 'arrayblow.v1.compt.keras.metrics.Mean', '... |
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