repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
models | models-master/research/object_detection/builders/model_builder_tf2_test.py | # Copyright 2020 The TensorFlow 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 applica... | 21,312 | 35.494863 | 80 | py |
models | models-master/research/object_detection/builders/hyperparams_builder_test.py | # Copyright 2017 The TensorFlow 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 applica... | 35,961 | 33.087204 | 80 | py |
models | models-master/research/object_detection/builders/hyperparams_builder.py | # Copyright 2017 The TensorFlow 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 applica... | 18,424 | 37.871308 | 80 | py |
models | models-master/research/delf/delf/python/training/global_features_utils.py | # Copyright 2021 The TensorFlow 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... | 8,790 | 38.599099 | 80 | py |
models | models-master/research/delf/delf/python/training/train.py | # Lint as: python3
# Copyright 2020 The TensorFlow 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 ... | 22,754 | 39.706619 | 80 | py |
models | models-master/research/delf/delf/python/training/global_features/train_utils.py | # Lint as: python3
# Copyright 2021 The TensorFlow 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 ... | 15,531 | 39.553525 | 80 | py |
models | models-master/research/delf/delf/python/training/global_features/train.py | # Lint as: python3
# Copyright 2021 The TensorFlow 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 ... | 15,702 | 42.258953 | 80 | py |
models | models-master/research/delf/delf/python/training/model/delf_model_test.py | # Lint as: python3
# Copyright 2020 The TensorFlow 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 ... | 4,198 | 37.522936 | 80 | py |
models | models-master/research/delf/delf/python/training/model/delf_model.py | # Lint as: python3
# Copyright 2020 The TensorFlow 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 ... | 9,075 | 36.659751 | 80 | py |
models | models-master/research/delf/delf/python/training/model/delg_model.py | # Lint as: python3
# Copyright 2020 The TensorFlow 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 ... | 7,641 | 41.692737 | 80 | py |
models | models-master/research/delf/delf/python/training/model/delg_model_test.py | # Lint as: python3
# Copyright 2021 The TensorFlow 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 ... | 5,899 | 37.815789 | 80 | py |
models | models-master/research/delf/delf/python/training/model/resnet50.py | # Copyright 2017 The TensorFlow 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 applica... | 17,089 | 36.071584 | 80 | py |
models | models-master/research/delf/delf/python/training/model/global_model.py | # Lint as: python3
# Copyright 2021 The TensorFlow 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 ... | 10,632 | 36.178322 | 80 | py |
models | models-master/research/delf/delf/python/training/model/export_CNN_global.py | # Lint as: python3
# Copyright 2021 The TensorFlow 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 ... | 6,604 | 36.95977 | 80 | py |
models | models-master/research/delf/delf/python/training/losses/ranking_losses.py | # Copyright 2021 The TensorFlow 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... | 6,201 | 34.238636 | 80 | py |
models | models-master/research/delf/delf/python/datasets/utils.py | # Lint as: python3
# Copyright 2021 The TensorFlow 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... | 2,662 | 34.506667 | 80 | py |
models | models-master/research/delf/delf/python/normalization_layers/normalization.py | # Copyright 2021 The TensorFlow 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... | 1,348 | 31.902439 | 80 | py |
models | models-master/research/delf/delf/python/pooling_layers/pooling.py | # Copyright 2021 The TensorFlow 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... | 6,125 | 30.415385 | 80 | py |
models | models-master/research/delf/delf/python/pooling_layers/pooling_test.py | # Copyright 2021 The TensorFlow 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... | 3,148 | 36.047059 | 80 | py |
models | models-master/research/deeplab/core/conv2d_ws.py | # Lint as: python2, python3
# Copyright 2019 The TensorFlow 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
#
#... | 15,881 | 41.924324 | 80 | py |
models | models-master/research/deeplab/core/resnet_v1_beta.py | # Lint as: python2, python3
# Copyright 2018 The TensorFlow 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
#
#... | 34,236 | 40.349034 | 80 | py |
models | models-master/research/seq_flow_lite/trainer_v2.py | # Copyright 2021 The TensorFlow 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... | 3,869 | 32.947368 | 80 | py |
models | models-master/research/seq_flow_lite/trainer.py | # Copyright 2020 The TensorFlow 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... | 6,640 | 35.489011 | 80 | py |
models | models-master/research/seq_flow_lite/models/pqrnn.py | # Copyright 2020 The TensorFlow 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... | 3,838 | 37.009901 | 80 | py |
models | models-master/research/seq_flow_lite/models/charformer.py | # Copyright 2022 The TensorFlow 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... | 6,598 | 41.850649 | 82 | py |
models | models-master/research/seq_flow_lite/models/byteqrnn.py | # Copyright 2022 The TensorFlow 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... | 6,033 | 41.195804 | 80 | py |
models | models-master/research/seq_flow_lite/models/transformer_encoder.py | # Copyright 2020 The TensorFlow 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... | 4,408 | 38.017699 | 105 | py |
models | models-master/research/seq_flow_lite/models/transformer_uniform_attn_decoder.py | # Copyright 2020 The TensorFlow 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... | 20,439 | 38.535783 | 94 | py |
models | models-master/research/seq_flow_lite/models/prado.py | # Copyright 2020 The TensorFlow 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... | 8,180 | 40.739796 | 80 | py |
models | models-master/research/seq_flow_lite/models/sgnn/sgnn_test.py | # Copyright 2020 The TensorFlow 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... | 2,771 | 36.972603 | 95 | py |
models | models-master/research/seq_flow_lite/models/sgnn/sgnn.py | # Copyright 2020 The TensorFlow 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... | 8,235 | 35.281938 | 80 | py |
models | models-master/research/seq_flow_lite/models/sgnn/train.py | # Copyright 2020 The TensorFlow 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... | 4,226 | 33.647541 | 86 | py |
models | models-master/research/seq_flow_lite/layers/base_layers.py | # Copyright 2020 The TensorFlow 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... | 4,899 | 33.027778 | 80 | py |
models | models-master/research/seq_flow_lite/layers/misc_layers.py | # Copyright 2020 The TensorFlow 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... | 10,559 | 42.636364 | 80 | py |
models | models-master/research/seq_flow_lite/layers/dense_layers.py | # Copyright 2020 The TensorFlow 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... | 4,317 | 34.105691 | 80 | py |
models | models-master/research/seq_flow_lite/layers/qrnn_layers.py | # Copyright 2020 The TensorFlow 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... | 17,000 | 36.864143 | 80 | py |
models | models-master/research/seq_flow_lite/layers/embedding_layers.py | # Copyright 2020 The TensorFlow 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... | 2,814 | 36.039474 | 80 | py |
models | models-master/research/seq_flow_lite/layers/normalization_layers.py | # Copyright 2020 The TensorFlow 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... | 5,515 | 38.4 | 80 | py |
models | models-master/research/seq_flow_lite/layers/transformer_layers.py | # Copyright 2020 The TensorFlow 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... | 30,161 | 43.817236 | 80 | py |
models | models-master/research/seq_flow_lite/layers/conv_layers.py | # Copyright 2020 The TensorFlow 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... | 4,468 | 34.468254 | 80 | py |
models | models-master/research/seq_flow_lite/layers/quantization_layers.py | # Copyright 2020 The TensorFlow 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... | 4,237 | 40.145631 | 80 | py |
models | models-master/research/attention_ocr/python/sequence_layers.py | # Copyright 2017 The TensorFlow 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... | 15,179 | 34.886525 | 88 | py |
models | models-master/research/deep_speech/deep_speech_model.py | # Copyright 2018 The TensorFlow 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 applica... | 6,717 | 36.741573 | 89 | py |
models | models-master/research/deep_speech/deep_speech.py | # Copyright 2018 The TensorFlow 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 applica... | 14,268 | 33.136364 | 89 | py |
models | models-master/research/slim/nets/resnet_utils.py | # Copyright 2016 The TensorFlow 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 applicable ... | 11,826 | 41.696751 | 80 | py |
models | models-master/research/slim/datasets/build_imagenet_data.py | # Copyright 2016 Google Inc. 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 applicable law or a... | 26,229 | 36.152975 | 87 | py |
models | models-master/research/vid2depth/project.py | # Copyright 2017 The TensorFlow 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... | 11,467 | 36.477124 | 83 | py |
models | models-master/orbit/controller_test.py | # Copyright 2023 The Orbit 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 applicable l... | 31,588 | 35.903037 | 80 | py |
models | models-master/orbit/examples/single_task/single_task_evaluator.py | # Copyright 2023 The Orbit 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 applicable l... | 3,195 | 35.735632 | 80 | py |
models | models-master/orbit/examples/single_task/single_task_trainer_test.py | # Copyright 2023 The Orbit 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 applicable l... | 1,961 | 31.163934 | 74 | py |
models | models-master/orbit/examples/single_task/single_task_trainer.py | # Copyright 2023 The Orbit 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 applicable l... | 5,647 | 39.056738 | 80 | py |
models | models-master/orbit/examples/single_task/single_task_evaluator_test.py | # Copyright 2023 The Orbit 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 applicable l... | 2,088 | 30.651515 | 80 | py |
cyphercat | cyphercat-master/scripts/test_train.py | from __future__ import print_function
try:
import os
import sys
import argparse
import numpy as np
import matplotlib.pyplot as plt
import torch
import torchvision
import torch.nn as nn
import torch.optim as optim
from cyphercat.models import get_predef_model, weight... | 4,030 | 32.31405 | 116 | py |
cyphercat | cyphercat-master/scripts/test_load.py | from __future__ import print_function
try:
import time
import os
import sys
import argparse
import torch
from cyphercat.load_data import prep_data
from cyphercat.utils import Configurator, DataStruct
except ImportError as e:
print(e)
raise ImportError
def main():
global... | 1,500 | 26.290909 | 163 | py |
cyphercat | cyphercat-master/scripts/test_train_libri.py | from __future__ import print_function
try:
import os
import sys
import argparse
import numpy as np
import matplotlib.pyplot as plt
import torch
import torchvision
import torch.nn as nn
import torch.optim as optim
from cyphercat.models import get_predef_model, weight... | 3,781 | 33.697248 | 124 | py |
cyphercat | cyphercat-master/Utils/transformations.py | import torch
import librosa as libr
import numpy as np
class ToMFCC:
'''
Transformation to convert soundfile loaded via LibriSpeechDataset to Mel-
frequency cepstral coefficients (MFCCs)
Args:
number_of_mels: Number of bins to use for cepstral coefficients
Returns:
torch.float tensor
... | 1,449 | 28.591837 | 79 | py |
cyphercat | cyphercat-master/Utils/datasets.py | from torch.utils.data import Dataset
from tqdm import tqdm
import soundfile as sf
import pandas as pd
import numpy as np
import os
LIBRISPEECH_SAMPLING_RATE = 16000
PATH = '/home/mlomnitz/mlomnitz/Datasets'
sex_to_label = {'M': False, 'F': True}
label_to_sex = {False: 'M', True: 'F'}
def to_categorical(y, num_classe... | 18,446 | 38.082627 | 119 | py |
cyphercat | cyphercat-master/Utils/visualize_object_survey.py | #!/usr/bin/python3
"""
Set of functions used to call a series of algorithms used to visualize the object localization of a pre-trained
network in PyTorch. The different algorithms are discussed in several papers, while the implementation is based,
roughly, on work in the following repository (https://github.com/sar-... | 8,615 | 31.513208 | 117 | py |
cyphercat | cyphercat-master/Utils/models.py | import torch
from torch import nn
import torch.nn.functional as F
import numpy as np
import os.path
def new_size_conv(size, kernel, stride=1, padding=0):
return np.floor((size + 2*padding - (kernel -1)-1)/stride +1)
def new_size_max_pool(size, kernel, stride=None, padding=0):
if stride == None:
... | 14,560 | 32.018141 | 128 | py |
cyphercat | cyphercat-master/Utils/metrics.py | import torch
import torch.nn.functional as F
import numpy as np
import matplotlib.pyplot as plt
from sklearn.pipeline import Pipeline
from SVC_Utils import *
from sklearn.metrics import roc_curve, auc
# determine device to run network on (runs on gpu if available)
device = torch.device("cuda:0" if torch.cuda.is_avail... | 11,084 | 35.22549 | 134 | py |
cyphercat | cyphercat-master/Utils/SVC_Utils.py | import numpy as np
import matplotlib.pyplot as plt
import os
from sklearn import svm
from sklearn.decomposition import PCA
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import MinMaxScaler
from sklearn.externals import joblib
import torch
import torchvision
def load(dataloader):
"""Load... | 3,655 | 30.791304 | 116 | py |
cyphercat | cyphercat-master/Utils/train.py | import torch
import torch.nn.functional as F
import numpy as np
import matplotlib.pyplot as plt
from metrics import *
# determine device to run network on (runs on gpu if available)
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
def train(net, data_loader, test_loader, optimizer, criterion... | 8,087 | 35.432432 | 142 | py |
cyphercat | cyphercat-master/cyphercat/defenses.py | import copy
# Torch imports
import torch
import torch.optim as optim
# Local imports
from .train import train, softCrossEntropy
from .metrics import eval_target_model
def transfer_learn(model=None, data_loader=None, test_loader=None,
optimizer=None, criterion=None, lr=0, n_epochs=0,
... | 6,149 | 37.198758 | 78 | py |
cyphercat | cyphercat-master/cyphercat/models.py | import os
import torch
import numpy as np
from torch import nn
import torch.nn.functional as fcnal
def new_size_conv(size, kernel, stride=1, padding=0):
"""Calculates the output size of a convolutional layer
Args:
size (int): Size of input (assumed square).
kernel (int): kernel size for conv... | 14,856 | 31.509847 | 79 | py |
cyphercat | cyphercat-master/cyphercat/metrics.py | import torch
import torch.nn.functional as fcnal
import numpy as np
import pandas as pd
from sklearn.pipeline import Pipeline
# determine device to run network on (runs on gpu if available)
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
def eval_target_model(model=None, data_loader=None, c... | 9,273 | 33.221402 | 78 | py |
cyphercat | cyphercat-master/cyphercat/train.py |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as fcnal
from sklearn.pipeline import Pipeline
from .metrics import eval_target_model
# Determine device to run network on (runs on gpu if available)
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
def label_t... | 15,691 | 35.749415 | 79 | py |
cyphercat | cyphercat-master/cyphercat/attacks.py | # Pytorch imports
import torch
# Cyphercat imports
from .train import train, train_attacker
from .metrics import eval_membership_inference, eval_attack_model
# Device to run on
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
def ml_leaks1(target=None, shadow_model=None, attacker_model=None,
... | 5,614 | 40.286765 | 79 | py |
cyphercat | cyphercat-master/cyphercat/datadefs/lfw_dataset.py | import os
import shutil
import numpy as np
from skimage import io
from torch.utils.data.dataset import Dataset
class LFWDataset(Dataset):
"""
Faces in the Wild specific dataset class.
Includes indexing functionality.
Inherets from PyTorch Dataset class.
"""
def __init__(self, data_struct=None... | 2,692 | 27.956989 | 79 | py |
cyphercat | cyphercat-master/cyphercat/datadefs/cyphercat_dataset.py | from cyphercat.definitions import DATASETS_DIR, DATASPLITS_DIR
from .cifar10_dataset import Cifar10_preload_and_split
from .libri_dataset import Libri_preload_and_split
class CCATDataset():
"""
This is a generic cyphercat dataset class for accessing the various
datasets accessible to the package.
# A... | 2,715 | 33.820513 | 93 | py |
cyphercat | cyphercat-master/cyphercat/datadefs/cifar10_dataset.py | import torch
from torch.utils.data import Dataset, ConcatDataset
import torchvision
from cyphercat.definitions import DATASETS_DIR, DATASPLITS_DIR
from tqdm import tqdm
import pandas as pd
import numpy as np
import pickle
import os
from .splitter import splitter, dataset_split
def Cifar10_preload_and_split(path=None,... | 2,161 | 31.757576 | 105 | py |
cyphercat | cyphercat-master/cyphercat/datadefs/splitter.py | from torch import randperm
from torch._utils import _accumulate
from torch.utils.data.dataset import Subset
import pandas as pd
def dataset_split(dataset=None, lengths=None, indices=None):
"""
Split a dataset into non-overlapping new datasets of given lengths.
If indices is undefined, then a random permu... | 7,516 | 35.848039 | 79 | py |
cyphercat | cyphercat-master/cyphercat/datadefs/voices_dataset.py | from torch.utils.data import Dataset
from cyphercat.definitions import DATASETS_DIR, DATASPLITS_DIR
from tqdm import tqdm
import soundfile as sf
import pandas as pd
import numpy as np
import os
from .splitter import splitter, splitter2
LIBRISPEECH_SAMPLING_RATE = 16000
sex_to_label = {'M': False, 'F': True}
label_to_... | 24,898 | 38.966292 | 80 | py |
cyphercat | cyphercat-master/cyphercat/datadefs/libri_dataset.py | from torch.utils.data import Dataset
from cyphercat.definitions import DATASETS_DIR, DATASPLITS_DIR
from tqdm import tqdm
import soundfile as sf
import pandas as pd
import numpy as np
import os
from .splitter import splitter
LIBRISPEECH_SAMPLING_RATE = 16000
sex_to_label = {'M': False, 'F': True}
label_to_sex = {Fals... | 21,505 | 39.96381 | 80 | py |
cyphercat | cyphercat-master/cyphercat/tests/test_dim_reduction.py | import sys
sys.path.insert(0, '../../')
import cyphercat as cc
import torch
import torch.nn as nn
import numpy as np
class test_cnn(nn.Module):
def __init__(self, n_in=3, n_classes=10, n_filters=64, size=64):
super(test_cnn, self).__init__()
self.size = size
self.n_filte... | 2,350 | 31.205479 | 77 | py |
cyphercat | cyphercat-master/cyphercat/utils/visualize_utils.py | #!/usr/bin/python3
"""
Set of functions used to call a series of algorithms used to visualize the object localization of a pre-trained
network in PyTorch. The different algorithms are discussed in several papers, while the implementation is based,
roughly, on work in the following repository (https://github.com/sar-... | 8,630 | 31.085502 | 117 | py |
cyphercat | cyphercat-master/cyphercat/utils/svc_utils.py | from __future__ import print_function
import os
import numpy as np
import torch
import torchvision
from sklearn import svm
from sklearn.decomposition import PCA
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import MinMaxScaler
from sklearn.externals import joblib
def load(dataloader):
"... | 3,817 | 29.790323 | 118 | py |
3DDFA | 3DDFA-master/main.py | #!/usr/bin/env python3
# coding: utf-8
__author__ = 'cleardusk'
"""
The pipeline of 3DDFA prediction: given one image, predict the 3d face vertices, 68 landmarks and visualization.
[todo]
1. CPU optimization: https://pmchojnacki.wordpress.com/2018/10/07/slow-pytorch-cpu-performance
"""
import torch
import torchvisi... | 9,511 | 45.174757 | 121 | py |
3DDFA | 3DDFA-master/video_demo.py | #!/usr/bin/env python3
# coding: utf-8
import torch
import torchvision.transforms as transforms
import mobilenet_v1
import numpy as np
import cv2
import dlib
from utils.ddfa import ToTensorGjz, NormalizeGjz
import scipy.io as sio
from utils.inference import (
parse_roi_box_from_landmark,
crop_img,
predict_6... | 3,552 | 31.3 | 88 | py |
3DDFA | 3DDFA-master/benchmark.py | #!/usr/bin/env python3
# coding: utf-8
import torch
import torch.nn as nn
import torch.utils.data as data
import torchvision.transforms as transforms
import torch.backends.cudnn as cudnn
import mobilenet_v1
import time
import numpy as np
from benchmark_aflw2000 import calc_nme as calc_nme_alfw2000
from benchmark_aflw... | 3,554 | 28.87395 | 111 | py |
3DDFA | 3DDFA-master/speed_cpu.py | #!/usr/bin/env python3
# coding: utf-8
import timeit
import numpy as np
SETUP_CODE = '''
import mobilenet_v1
import torch
model = mobilenet_v1.mobilenet_1()
model.eval()
data = torch.rand(1, 3, 120, 120)
'''
TEST_CODE = '''
with torch.no_grad():
model(data)
'''
def main():
repeat, number = 5, 100
res ... | 693 | 18.277778 | 78 | py |
3DDFA | 3DDFA-master/wpdc_loss.py | #!/usr/bin/env python3
# coding: utf-8
import torch
import torch.nn as nn
from math import sqrt
from utils.io import _numpy_to_cuda
from utils.params import *
_to_tensor = _numpy_to_cuda # gpu
def _parse_param_batch(param):
"""Work for both numpy and tensor"""
N = param.shape[0]
p_ = param[:, :12].view... | 4,540 | 33.664122 | 108 | py |
3DDFA | 3DDFA-master/vdc_loss.py | #!/usr/bin/env python3
# coding: utf-8
import torch
import torch.nn as nn
from utils.io import _load, _numpy_to_cuda, _numpy_to_tensor
from utils.params import *
_to_tensor = _numpy_to_cuda # gpu
def _parse_param_batch(param):
"""Work for both numpy and tensor"""
N = param.shape[0]
p_ = param[:, :12].v... | 3,606 | 34.362745 | 104 | py |
3DDFA | 3DDFA-master/train.py | #!/usr/bin/env python3
# coding: utf-8
import os.path as osp
from pathlib import Path
import numpy as np
import argparse
import time
import logging
import torch
import torch.nn as nn
import torchvision.transforms as transforms
from torch.utils.data import DataLoader
import mobilenet_v1
import torch.backends.cudnn as ... | 9,938 | 34.244681 | 105 | py |
3DDFA | 3DDFA-master/mobilenet_v1.py | #!/usr/bin/env python3
# coding: utf-8
from __future__ import division
"""
Creates a MobileNet Model as defined in:
Andrew G. Howard Menglong Zhu Bo Chen, et.al. (2017).
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
Copyright (c) Yang Lu, 2017
Modified By cleardusk
"""
import... | 5,224 | 32.709677 | 110 | py |
3DDFA | 3DDFA-master/c++/convert_to_onnx.py | #!/usr/bin/env python3
# coding: utf-8
import torch
import mobilenet_v1
def main():
# checkpoint_fp = 'weights/phase1_wpdc_vdc.pth.tar'
checkpoint_fp = 'weights/mb_1.p'
arch = 'mobilenet_1'
checkpoint = torch.load(checkpoint_fp, map_location=lambda storage, loc: storage)['state_dict']
model = get... | 1,135 | 32.411765 | 100 | py |
3DDFA | 3DDFA-master/c++/mobilenet_v1.py | #!/usr/bin/env python3
# coding: utf-8
from __future__ import division
"""
Creates a MobileNet Model as defined in:
Andrew G. Howard Menglong Zhu Bo Chen, et.al. (2017).
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
Copyright (c) Yang Lu, 2017
Modified By cleardusk
"""
import... | 5,224 | 32.709677 | 110 | py |
3DDFA | 3DDFA-master/utils/io.py | #!/usr/bin/env python3
# coding: utf-8
import os
import numpy as np
import torch
import pickle
import scipy.io as sio
def mkdir(d):
"""only works on *nix system"""
if not os.path.isdir(d) and not os.path.exists(d):
os.system('mkdir -p {}'.format(d))
def _get_suffix(filename):
"""a.jpg -> jpg"""... | 3,012 | 24.974138 | 97 | py |
3DDFA | 3DDFA-master/utils/ddfa.py | #!/usr/bin/env python3
# coding: utf-8
import os.path as osp
from pathlib import Path
import numpy as np
import torch
import torch.utils.data as data
import cv2
import pickle
import argparse
from .io import _numpy_to_tensor, _load_cpu, _load_gpu
from .params import *
def _parse_param(param):
"""Work for both nu... | 4,316 | 26.673077 | 118 | py |
Squeezeformer | Squeezeformer-main/examples/squeezeformer/test.py | # Copyright 2020 Huy Le Nguyen (@usimarit)
#
# 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 t... | 8,644 | 37.59375 | 117 | py |
Squeezeformer | Squeezeformer-main/src/models/base_model.py | # Copyright 2020 Huy Le Nguyen (@usimarit)
#
# 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 t... | 6,880 | 35.026178 | 111 | py |
Squeezeformer | Squeezeformer-main/src/models/conformer_encoder.py | # Copyright 2020 Huy Le Nguyen (@usimarit)
#
# 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 t... | 23,551 | 39.191126 | 124 | py |
Squeezeformer | Squeezeformer-main/src/models/ctc.py | # Copyright 2020 Huy Le Nguyen (@usimarit)
#
# 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 t... | 5,608 | 41.172932 | 113 | py |
Squeezeformer | Squeezeformer-main/src/models/conformer.py | import tensorflow as tf
from tensorflow.python.keras.utils import losses_utils
from tensorflow.python.framework import ops
from tensorflow.python.eager import def_function
from .ctc import CtcModel
from .conformer_encoder import ConformerEncoder
from ..augmentations.augmentation import SpecAugmentation
from ..utils im... | 9,029 | 39.493274 | 160 | py |
Squeezeformer | Squeezeformer-main/src/models/submodules/multihead_attention.py | # Copyright 2020 Huy Le Nguyen (@usimarit)
#
# 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 t... | 10,251 | 37.397004 | 116 | py |
Squeezeformer | Squeezeformer-main/src/models/submodules/time_reduction.py | import tensorflow as tf
from ...utils import shape_util
class TimeReductionLayer(tf.keras.layers.Layer):
def __init__(
self,
input_dim,
output_dim,
kernel_size=5,
stride=2,
dropout=0.0,
name="time_reduction",
**kwargs,
):
super(TimeReducti... | 2,287 | 42.169811 | 101 | py |
Squeezeformer | Squeezeformer-main/src/models/submodules/subsampling.py | # Copyright 2020 Huy Le Nguyen (@usimarit)
#
# 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 t... | 4,228 | 43.989362 | 108 | py |
Squeezeformer | Squeezeformer-main/src/models/submodules/glu.py | # Copyright 2020 Huy Le Nguyen (@usimarit)
#
# 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 t... | 1,132 | 31.371429 | 74 | py |
Squeezeformer | Squeezeformer-main/src/models/submodules/positional_encoding.py | # Copyright 2020 Huy Le Nguyen (@usimarit)
#
# 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 t... | 1,965 | 38.32 | 104 | py |
Squeezeformer | Squeezeformer-main/src/augmentations/augmentation.py | # Copyright 2020 Huy Le Nguyen (@usimarit)
#
# 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 t... | 3,294 | 38.698795 | 109 | py |
Squeezeformer | Squeezeformer-main/src/featurizers/speech_featurizers.py | # Copyright 2020 Huy Le Nguyen (@usimarit) and Huy Phan (@pquochuy)
#
# 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 a... | 9,943 | 36.104478 | 122 | py |
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