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models-master/research/slim/preprocessing/__init__.py
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models
models-master/research/slim/preprocessing/cifarnet_preprocessing.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 ...
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models
models-master/research/slim/preprocessing/lenet_preprocessing.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 ...
1,804
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models
models-master/research/vid2depth/inference.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...
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models
models-master/research/vid2depth/reader.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...
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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...
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models
models-master/research/vid2depth/model.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...
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models
models-master/research/vid2depth/util.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...
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models
models-master/research/vid2depth/nets.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...
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models
models-master/research/vid2depth/train.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...
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models
models-master/research/vid2depth/dataset/gen_data.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...
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models
models-master/research/vid2depth/dataset/dataset_loader.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...
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models
models-master/research/vid2depth/dataset/__init__.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...
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models-master/research/vid2depth/ops/icp_train_demo.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...
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models
models-master/research/vid2depth/ops/icp_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 applicab...
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models
models-master/research/vid2depth/ops/icp_grad.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...
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models
models-master/research/vid2depth/ops/icp_util.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...
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models
models-master/research/vid2depth/ops/icp_op.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...
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models
models-master/research/vid2depth/ops/__init__.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...
688
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models
models-master/research/vid2depth/ops/icp_grad_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 applicab...
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models
models-master/research/pcl_rl/objective.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...
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models
models-master/research/pcl_rl/expert_paths.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...
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models
models-master/research/pcl_rl/full_episode_objective.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...
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models
models-master/research/pcl_rl/optimizers.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...
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models
models-master/research/pcl_rl/model.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...
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models
models-master/research/pcl_rl/policy.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...
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models
models-master/research/pcl_rl/trust_region.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...
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models
models-master/research/pcl_rl/gym_wrapper.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...
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models
models-master/research/pcl_rl/controller.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...
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models
models-master/research/pcl_rl/replay_buffer.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...
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models
models-master/research/pcl_rl/baseline.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...
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models
models-master/research/pcl_rl/env_spec.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...
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models
models-master/research/pcl_rl/trainer.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...
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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...
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models
models-master/orbit/standard_runner_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...
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models
models-master/orbit/standard_runner.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...
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models
models-master/orbit/runner.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...
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models
models-master/orbit/controller.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...
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models
models-master/orbit/__init__.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...
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models
models-master/orbit/actions/new_best_metric_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...
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models
models-master/orbit/actions/export_saved_model_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...
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models
models-master/orbit/actions/save_checkpoint_if_preempted.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...
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models
models-master/orbit/actions/export_saved_model.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...
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py
models
models-master/orbit/actions/conditional_action.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...
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py
models
models-master/orbit/actions/conditional_action_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...
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models
models-master/orbit/actions/new_best_metric.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...
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py
models
models-master/orbit/actions/__init__.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...
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models
models-master/orbit/examples/__init__.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...
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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...
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models
models-master/orbit/examples/single_task/__init__.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...
604
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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...
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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...
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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...
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models
models-master/orbit/utils/tpu_summaries_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...
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models
models-master/orbit/utils/epoch_helper.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...
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models
models-master/orbit/utils/tpu_summaries.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...
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models
models-master/orbit/utils/common_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...
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models
models-master/orbit/utils/summary_manager_interface.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...
2,253
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py
models
models-master/orbit/utils/common.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...
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py
models
models-master/orbit/utils/__init__.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...
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py
models
models-master/orbit/utils/summary_manager.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...
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py
models
models-master/orbit/utils/loop_fns.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...
8,016
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models
models-master/tensorflow_models/tensorflow_models_test.py
# Copyright 2023 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...
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models
models-master/tensorflow_models/__init__.py
# Copyright 2023 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...
909
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models
models-master/tensorflow_models/nlp/__init__.py
# Copyright 2023 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...
807
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models
models-master/tensorflow_models/vision/__init__.py
# Copyright 2023 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...
833
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py
cyphercat
cyphercat-master/setup.py
#!/usr/bin/env python # -*- coding: utf-8 -*- import io import os import sys from shutil import rmtree from setuptools import setup, find_packages, Command NAME = 'cyphercat' DESCRIPTION = 'A toolkit for ML security', MAINTAINER = 'lab41' MAINTAINER_EMAIL = 'info@lab41.org' URL = 'https://github.com/Lab41/cyphercat' ...
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cyphercat
cyphercat-master/Classification_baselines/LibriSpeech/LS_UTILS/Network_funcs.py
import os import numpy as np import soundfile as sf # To read .flac files. import librosa # For the neural network. # Install PyBrain, e.g. pip install pybrain. from pybrain.datasets import ClassificationDataSet from pybrain.tools.shortcuts import buildNetwork from pybrain.supervised...
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cyphercat
cyphercat-master/Classification_baselines/LibriSpeech/LS_UTILS/Data_load.py
import os from os import path, makedirs # For LibriSpeech download import codecs import fnmatch import requests import subprocess import tarfile import unicodedata from tensorflow.python.platform import gfile # Processing split_and_df = False #True if you haven't already done this step def maybe_download(archive_...
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cyphercat-master/Classification_baselines/LibriSpeech/LS_UTILS/Move_data.py
import os def move_files(abs_dirname,speaker,datapath,trainSet,cvSet,tstSet): """Move files into subdirectories.""" for subdir in os.listdir(abs_dirname): files = [os.path.join(abs_dirname,subdir, f) for f in os.listdir(os.path.join(abs_dirname,subdir))] cv_dir = os.path.abspath(os.path.join...
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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...
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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...
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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...
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cyphercat-master/Visualizations/visualize_util.py
from graphviz import Digraph def visualize(model, name): print(model.source) # doctest: +NORMALIZE_WHITESPACE model.render(name, view=False) # doctest: +SKIP #name.pdf # print(fool_attack.source) # doctest: +NORMALIZE_WHITESPACE # fool_attack.render('test-output/fooling_attack-table.gv', view=False...
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cyphercat-master/Visualizations/model_fooling.py
from graphviz import Digraph # MODEL FOOLING def fooling_attack(): fool_attack = Digraph('Fooling Attacks',graph_attr={'size':'8.5,11.5'},comment='Taxonomy of Secure Deep Learning', ) fool_attack #doctest: +ELLIPSIS # NODES: fool_attack.node('Fooling Attacks', r'{<f0> Fooling Attacks |<f1>...
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cyphercat-master/Visualizations/visualize.py
from graphviz import Digraph from model_inversion import * from model_fooling import * from visualize_util import * # Generate the PDF's visualize(fooling_attack(), 'fooling_attack.gv') visualize(fooling_defense(), 'fooling_defense.gv') visualize(inversion_attack(), 'inversion_attack.gv') visualize(inversion_defense()...
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cyphercat-master/Visualizations/model_inversion.py
from graphviz import Digraph # MODEL INVERSION def inversion_attack(): inversion_attack = Digraph('Inversion Attacks',comment='Taxonomy of Secure Deep Learning') inversion_attack.node('Inversion Attacks', r'{<f0> Inversion Attacks |<f1> '+ r'https://arxiv.org/abs/1804.00097'+ ...
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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 ...
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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...
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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-...
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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: ...
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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...
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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...
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cyphercat-master/Utils/data_downloaders.py
import os, shutil import urllib.request import zipfile import tarfile # For LibriSpeech download import codecs import fnmatch import requests import subprocess import unicodedata from tensorflow.python.platform import gfile def get_tiny_imagenet(datasets_dir): if os.path.isdir(os.path.join(datasets_dir,'ti...
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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...
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cyphercat-master/cyphercat/definitions.py
import os # Local directory of CypherCat API CYCAT_DIR = os.path.dirname(os.path.abspath(__file__)) # Local directory containing entire repo REPO_DIR = os.path.split(CYCAT_DIR)[0] # Local directory for datasets DATASETS_DIR = os.path.join(REPO_DIR, 'Datasets') # Local directory for datasets DATASPLITS_DIR = os.path...
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cyphercat-master/cyphercat/__version__.py
__version__ = '0.1.dev0'
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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, ...
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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...
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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...
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cyphercat-master/cyphercat/load_data.py
import os from .utils.file_utils import downloader, unpacker def prep_data(data_struct=None): """ Function to prepare data set based on input configuration Parameters ---------- data_struct : config structure parameters from 'data' field of global yaml ...
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cyphercat-master/cyphercat/__init__.py
# __init__.py from .__version__ import __version__ from .utils import * from .train import * from .models import * from .metrics import * from .attacks import * from .datadefs import * from .defenses import * from .load_data import * from .definitions import * from .datadefs.libri_dataset import * from .datadefs.voic...
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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...
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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, ...
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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...
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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...
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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,...
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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...
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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_...
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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...
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