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 |
|---|---|---|---|---|---|---|
rlgraph | rlgraph-master/rlgraph/components/distributions/mixture_distribution.py | # Copyright 2018/2019 The RLgraph 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 appli... | 4,123 | 39.431373 | 115 | py |
rlgraph | rlgraph-master/rlgraph/components/distributions/bernoulli.py | # Copyright 2018/2019 The RLgraph 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 appli... | 1,961 | 36.730769 | 110 | py |
rlgraph | rlgraph-master/rlgraph/components/policies/policy.py | # Copyright 2018/2019 The RLgraph 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 appli... | 26,045 | 48.801147 | 120 | py |
rlgraph | rlgraph-master/rlgraph/components/policies/dueling_policy.py | # Copyright 2018/2019 The Rlgraph 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 appli... | 10,112 | 43.161572 | 113 | py |
rlgraph | rlgraph-master/rlgraph/components/common/synchronizable.py | # Copyright 2018/2019 The RLgraph 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 appli... | 6,614 | 49.113636 | 120 | py |
rlgraph | rlgraph-master/rlgraph/components/common/time_dependent_parameters.py | # Copyright 2018/2019 The Rlgraph 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 appli... | 11,207 | 42.274131 | 118 | py |
rlgraph | rlgraph-master/rlgraph/components/common/softmax.py | # Copyright 2018/2019 The RLgraph 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 appli... | 2,511 | 35.405797 | 104 | py |
rlgraph | rlgraph-master/rlgraph/components/common/decay_components.py | # Copyright 2018/2019 The RLgraph 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 appli... | 11,824 | 41.689531 | 120 | py |
rlgraph | rlgraph-master/rlgraph/components/common/container_merger.py | # Copyright 2018/2019 The RLgraph 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 appli... | 4,741 | 42.109091 | 112 | py |
rlgraph | rlgraph-master/rlgraph/components/helpers/sequence_helper.py | # Copyright 2018/2019 The RLgraph 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 appli... | 16,966 | 41.52381 | 117 | py |
rlgraph | rlgraph-master/rlgraph/components/helpers/clipping.py | # Copyright 2018/2019 The RLgraph 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 appli... | 1,992 | 32.779661 | 110 | py |
rlgraph | rlgraph-master/rlgraph/components/action_adapters/bernoulli_distribution_adapter.py | # Copyright 2018/2019 The RLgraph 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 appli... | 2,099 | 34.59322 | 113 | py |
rlgraph | rlgraph-master/rlgraph/components/action_adapters/beta_distribution_adapter.py | # Copyright 2018/2019 The RLgraph 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 appli... | 3,734 | 40.966292 | 112 | py |
rlgraph | rlgraph-master/rlgraph/components/action_adapters/squashed_normal_distribution_adapter.py | # Copyright 2018/2019 The RLgraph 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 appli... | 3,347 | 39.829268 | 112 | py |
rlgraph | rlgraph-master/rlgraph/components/action_adapters/categorical_distribution_adapter.py | # Copyright 2018/2019 The RLgraph 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 appli... | 2,686 | 36.319444 | 98 | py |
rlgraph | rlgraph-master/rlgraph/components/action_adapters/normal_distribution_adapter.py | # Copyright 2018/2019 The RLgraph 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 appli... | 3,446 | 38.62069 | 112 | py |
rlgraph | rlgraph-master/rlgraph/components/action_adapters/gumbel_softmax_distribution_adapter.py | # Copyright 2018/2019 The RLgraph 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 appli... | 2,144 | 34.163934 | 91 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/lstm_layer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 12,456 | 50.475207 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/local_response_normalization_layer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 3,060 | 41.513889 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/conv2d_transpose_layer.py | # Copyright 2018/2019 ducandu GmbH, 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... | 6,127 | 46.503876 | 116 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/maxpool2d_layer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 3,088 | 42.507042 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/dense_layer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 5,326 | 45.321739 | 108 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/multi_lstm_layer.py | # Copyright 2018/2019 ducandu GmbH, 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... | 11,866 | 53.43578 | 173 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/conv2d_layer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 6,463 | 45.503597 | 116 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/activation_functions.py | # Copyright 2018/2019 The RLgraph 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 appli... | 5,289 | 39.692308 | 107 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/nn_layer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 7,070 | 44.619355 | 117 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/nn/concat_layer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 4,110 | 42.273684 | 112 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/concat.py | # Copyright 2018/2019 The RLgraph 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 appli... | 3,581 | 43.222222 | 116 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/grayscale.py | # Copyright 2018/2019 The RLgraph 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 appli... | 6,200 | 41.472603 | 120 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/sequence.py | # Copyright 2018/2019 The RLgraph 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 appli... | 11,865 | 45.351563 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/moving_standardize.py | # Copyright 2018/2019 The RLgraph 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 appli... | 5,760 | 40.15 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/reshape.py | # Copyright 2018/2019 The RLgraph 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 appli... | 16,442 | 51.03481 | 120 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/transpose.py | # Copyright 2018/2019 The RLgraph 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 appli... | 3,825 | 41.511111 | 114 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/convert_type.py | # Copyright 2018/2019 The RLgraph 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 appli... | 5,430 | 46.226087 | 114 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/image_resize.py | # Copyright 2018/2019 The RLgraph 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 appli... | 6,930 | 39.296512 | 115 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/normalize.py | # Copyright 2018/2019 The RLgraph 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 appli... | 2,955 | 40.055556 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/layers/preprocessing/image_crop.py | # Copyright 2018/2019 The RLgraph 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 appli... | 4,423 | 38.855856 | 109 | py |
rlgraph | rlgraph-master/rlgraph/components/explorations/epsilon_exploration.py | # Copyright 2018/2019 The RLgraph 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 appli... | 4,673 | 43.514286 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/explorations/exploration.py | # Copyright 2018/2019 The RLgraph 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 appli... | 8,725 | 43.520408 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/optimizers/horovod_optimizer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 2,813 | 40.382353 | 115 | py |
rlgraph | rlgraph-master/rlgraph/components/optimizers/local_optimizers.py | # Copyright 2018/2019 The RLgraph 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 appli... | 12,369 | 38.269841 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/memories/replay_memory.py | # Copyright 2018/2019 The RLgraph 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 appli... | 5,548 | 41.684615 | 120 | py |
rlgraph | rlgraph-master/rlgraph/components/memories/ring_buffer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 12,829 | 48.157088 | 127 | py |
rlgraph | rlgraph-master/rlgraph/components/memories/__init__.py | # Copyright 2018/2019 The RLgraph 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 appli... | 2,283 | 38.37931 | 83 | py |
rlgraph | rlgraph-master/rlgraph/components/memories/mem_prioritized_replay.py | # Copyright 2018/2019 The RLgraph 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 appli... | 6,065 | 39.44 | 107 | py |
rlgraph | rlgraph-master/rlgraph/components/loss_functions/ppo_loss_function.py | # Copyright 2018/2019 The RLgraph 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 appli... | 9,496 | 44.658654 | 127 | py |
rlgraph | rlgraph-master/rlgraph/components/loss_functions/dqn_loss_function.py | # Copyright 2018/2019 The RLgraph 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 appli... | 16,189 | 49.123839 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/loss_functions/actor_critic_loss_function.py | # Copyright 2018/2019 The RLgraph 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 appli... | 7,015 | 42.042945 | 119 | py |
rlgraph | rlgraph-master/rlgraph/components/loss_functions/loss_function.py | # Copyright 2018/2019 The RLgraph 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 appli... | 3,853 | 35.704762 | 114 | py |
rlgraph | rlgraph-master/rlgraph/graphs/graph_builder.py | # Copyright 2018/2019 The RLgraph 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 appli... | 70,001 | 54.076318 | 125 | py |
rlgraph | rlgraph-master/rlgraph/graphs/pytorch_executor.py | # Copyright 2018/2019 The RLgraph 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 appli... | 8,737 | 38.538462 | 106 | py |
rlgraph | rlgraph-master/rlgraph/graphs/__init__.py | # Copyright 2018/2019 The RLgraph 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 appli... | 1,755 | 34.836735 | 88 | py |
rlgraph | rlgraph-master/rlgraph/utils/pytorch_util.py | # Copyright 2018/2019 The RLgraph 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 appli... | 5,297 | 31.906832 | 119 | py |
rlgraph | rlgraph-master/rlgraph/utils/input_parsing.py | # Copyright 2018/2019 The RLgraph 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 appli... | 11,333 | 38.082759 | 122 | py |
rlgraph | rlgraph-master/rlgraph/utils/util.py | # Copyright 2018/2019 The RLgraph 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 appli... | 14,894 | 34.805288 | 120 | py |
rlgraph | rlgraph-master/rlgraph/utils/__init__.py | # Copyright 2018/2019 The RLgraph 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 appli... | 2,379 | 55.666667 | 118 | py |
rlgraph | rlgraph-master/rlgraph/utils/initializer.py | # Copyright 2018/2019 The RLgraph 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 appli... | 4,467 | 45.541667 | 119 | py |
rlgraph | rlgraph-master/rlgraph/utils/define_by_run_ops.py | # Copyright 2018/2019 The RLgraph 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 appli... | 16,344 | 40.484772 | 134 | py |
citygan | citygan-master/model/datafolder.py | import torch.utils.data as data
from PIL import Image
import os
import os.path
import cPickle as pickle
import gzip
from scipy.ndimage.interpolation import rotate
from skimage.io import imread
from skimage.transform import resize
import numpy as np
IMG_EXTENSIONS = [
'.jpg', '.JPG', '.jpeg', '.JPEG', '.tif', '.TI... | 6,514 | 33.109948 | 111 | py |
citygan | citygan-master/model/main.py | import torch
from trainer import Trainer
from config import get_config
from data_loader import get_loader
from utils import prepare_dirs_and_logger, save_config
# Mean [0.03400000184774399, 164.42999267578125, 1.3049999475479126, 0.8849999904632568, 0.08799999952316284]
# Stdv [0.16899999976158142, 1040.2120361328125... | 2,292 | 34.276923 | 316 | py |
citygan | citygan-master/model/data_loader.py | import os
import numpy as np
from glob import glob
from PIL import Image
from tqdm import tqdm
import torch
from torchvision import transforms
import torchvision.datasets as dset
from folder import ImageFolder
from datafolder import DataFolder, rotate_ndimage, attributes_loader, ndimage_loader, basic_preprocess, flip... | 3,207 | 46.176471 | 246 | py |
citygan | citygan-master/model/models_dcgan.py | import torch
import numpy as np
from torch import nn
import torch.nn.functional as F
from torch.autograd import Variable
from torch.utils.data import TensorDataset, DataLoader
def weights_init(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
m.weight.data.normal_(0.0, 0.02)
eli... | 5,730 | 35.503185 | 88 | py |
citygan | citygan-master/model/train_dcgan.py | from __future__ import print_function
import argparse
import os
import random
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torchv... | 10,260 | 38.617761 | 298 | py |
citygan | citygan-master/model/folder.py | import torch.utils.data as data
from PIL import Image
import os
import os.path
IMG_EXTENSIONS = [
'.jpg', '.JPG', '.jpeg', '.JPEG', '.tif',
'.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP',
]
def is_image_file(filename):
return any(filename.endswith(extension) for extension in IMG_EXTENSIONS)
def make_dat... | 1,664 | 27.706897 | 94 | py |
FedMA | FedMA-master/main.py | from utils import *
import pickle
import copy
from sklearn.preprocessing import normalize
from matching.pfnm import layer_wise_group_descent
from matching.pfnm import block_patching, patch_weights
from matching.gaus_marginal_matching import match_local_atoms
from combine_nets import compute_pdm_matching_multilayer, c... | 85,875 | 50.701385 | 169 | py |
FedMA | FedMA-master/vgg.py | '''
Modified from https://github.com/pytorch/vision.git
'''
import math
import torch.nn as nn
import torch.nn.init as init
__all__ = [
'VGG', 'vgg11', 'vgg11_bn', 'vgg13', 'vgg13_bn', 'vgg16', 'vgg16_bn',
'vgg19_bn', 'vgg19',
]
class VGG(nn.Module):
'''
VGG model
'''
def __init__(self, feat... | 6,246 | 32.228723 | 135 | py |
FedMA | FedMA-master/matching_performance.py | import logging
from model import *
from utils import *
from vgg import *
from vgg import matched_vgg11
def compute_model_averaging_accuracy(models, weights, train_dl, test_dl, n_classes, args):
"""An variant of fedaveraging"""
if args.model == "lenet":
avg_cnn = LeNet()
elif args.model == "vgg":
... | 13,783 | 44.491749 | 149 | py |
FedMA | FedMA-master/utils.py | import os
import argparse
import json
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
import logging
import torchvision
import torchvision.transforms as transforms
import torch.utils.data as data
from itertools import product
import math
import copy
import time
from sklearn.metrics imp... | 58,737 | 44.960876 | 186 | py |
FedMA | FedMA-master/model.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class FcNet(nn.Module):
"""
Fully connected network for MNIST classification
"""
def __init__(self, input_dim, hidden_dims, output_dim, dropout_p=0.0):
super().__init__()
self.input_dim = input_dim
self.hidden... | 14,667 | 33.111628 | 115 | py |
FedMA | FedMA-master/datasets.py | import torch.utils.data as data
from PIL import Image
import numpy as np
from torchvision.datasets import MNIST, CIFAR10
from torchvision.datasets import DatasetFolder
from PIL import Image
import os
import os.path
import sys
import logging
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.I... | 14,275 | 31.743119 | 144 | py |
FedMA | FedMA-master/dist_skew_main.py | from utils import *
import pickle
import copy
from sklearn.preprocessing import normalize
#from matching.pfnm import layer_group_descent
from matching.pfnm import layer_wise_group_descent, layer_wise_group_descent_comm
from matching.pfnm import block_patching, patch_weights
from matching.utils import ModerateCNNContai... | 68,404 | 50.548606 | 184 | py |
FedMA | FedMA-master/combine_nets.py | import torch
import torch.nn.functional as F
import numpy as np
import logging
#from matching.pfnm import layer_group_descent as pdm_multilayer_group_descent
from matching.pfnm_communication import layer_group_descent as pdm_iterative_layer_group_descent
from matching.pfnm_communication import build_init as pdm_build_... | 12,022 | 35.213855 | 138 | py |
FedMA | FedMA-master/language_modeling/gaus_marginal_matching.py | import numpy as np
from lapsolver import solve_dense
import logging
import torch
import time
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def compute_cost(global_atoms, atoms_j, global_atoms_squared, sigma, sigma0, mu0, popularity_counts, gamma, J):
Lj = atoms_j.shap... | 8,773 | 46.945355 | 199 | py |
FedMA | FedMA-master/language_modeling/ensemble_accuracy_calculator.py | # part of the code blocks are modified from:
# https://github.com/litian96/FedProx/blob/master/flearn/models/shakespeare/stacked_lstm.py
# by Hongyi Wang (hwang595 @ GitHub)
# credit goes to: Tian Li (litian96 @ GitHub)
import json
import logging
import numpy as np
import time
import math
import pickle
import copy
f... | 21,535 | 38.227687 | 205 | py |
FedMA | FedMA-master/language_modeling/lstm_fedma_with_comm.py | # part of the code blocks are modified from: https://github.com/litian96/FedProx/blob/master/flearn/models/shakespeare/stacked_lstm.py
# credit goes to: Tian Li (litian96 @ GitHub)
import json
import logging
import numpy as np
import time
import math
import pickle
import copy
import torch
import torch.nn as nn
import... | 27,506 | 51.796545 | 238 | py |
FedMA | FedMA-master/language_modeling/language_oneshot_matching.py | # part of the code blocks are modified from: https://github.com/litian96/FedProx/blob/master/flearn/models/shakespeare/stacked_lstm.py
# credit goes to: Tian Li (litian96 @ GitHub)
import json
import logging
import numpy as np
import time
import math
import pickle
import copy
import torch
import torch.nn as nn
import ... | 32,638 | 53.671692 | 256 | py |
FedMA | FedMA-master/language_modeling/language_main.py | # part of the code blocks are modified from: https://github.com/litian96/FedProx/blob/master/flearn/models/shakespeare/stacked_lstm.py
# credit goes to: Tian Li (litian96 @ GitHub)
import json
import logging
import numpy as np
import time
import math
import pickle
import copy
import argparse
import torch
import torch... | 39,821 | 54.851332 | 257 | py |
FedMA | FedMA-master/language_modeling/language_utils.py | # Modified from: https://github.com/litian96/FedProx/blob/master/flearn/utils/language_utils.py
# credit goes to: Tian Li (litian96 @ GitHub)
"""Utils for language models."""
import re
import numpy as np
import torch
# ------------------------
# utils for shakespeare dataset
ALL_LETTERS = "\n !\"&'(),-.0123456789:... | 6,444 | 30.905941 | 102 | py |
FedMA | FedMA-master/language_modeling/language_model.py | import logging
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class RNNModel(nn.Module):
"""
Container module with an encoder, a recurrent module, and a decoder.
Modified by: Hongyi Wang from ... | 5,664 | 38.615385 | 125 | py |
FedMA | FedMA-master/language_modeling/language_whole_training.py | # part of the code blocks are modified from: https://github.com/litian96/FedProx/blob/master/flearn/models/shakespeare/stacked_lstm.py
# credit goes to: Tian Li (litian96 @ GitHub)
import json
import logging
import numpy as np
import time
import math
import pickle
import copy
import torch
import torch.nn as nn
import... | 6,131 | 37.325 | 209 | py |
FedMA | FedMA-master/jupyter_notebook/matching/utils.py | import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from scipy.optimize import linear_sum_assignment
#from lapsolver import solve_dense
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class SimpleCNNContainerConvBlocks(nn.Module):
... | 4,092 | 38.737864 | 105 | py |
FedMA | FedMA-master/jupyter_notebook/matching/pfnm.py | from .utils import *
from .gaus_marginal_matching import match_local_atoms
import copy
def row_param_cost(global_weights, weights_j_l, global_sigmas, sigma_inv_j):
match_norms = ((weights_j_l + global_weights) ** 2 / (sigma_inv_j + global_sigmas)).sum(axis=1) - (
global_weights ** 2 / global_sigma... | 69,052 | 61.153915 | 226 | py |
FedMA | FedMA-master/jupyter_notebook/matching/.ipynb_checkpoints/pfnm-checkpoint.py | from .utils import *
import copy
def row_param_cost(global_weights, weights_j_l, global_sigmas, sigma_inv_j):
match_norms = ((weights_j_l + global_weights) ** 2 / (sigma_inv_j + global_sigmas)).sum(axis=1) - (
global_weights ** 2 / global_sigmas).sum(axis=1)
return match_norms
def compute_c... | 54,041 | 59.721348 | 226 | py |
FedMA | FedMA-master/jupyter_notebook/matching/.ipynb_checkpoints/utils-checkpoint.py | import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from scipy.optimize import linear_sum_assignment
#from lapsolver import solve_dense
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class SimpleCNNContainerConvBlocks(nn.Module):
... | 4,092 | 38.737864 | 105 | py |
FedMA | FedMA-master/matching/gaus_marginal_matching.py | import numpy as np
from .utils import *
from lapsolver import solve_dense
import torch
def compute_cost(global_atoms, atoms_j, global_atoms_squared, sigma, sigma0, mu0, popularity_counts, gamma, J):
Lj = atoms_j.shape[0]
counts = np.array(popularity_counts).astype(np.float32)
sigma_ratio = (sigm... | 8,957 | 48.491713 | 199 | py |
FedMA | FedMA-master/matching/utils.py | import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from scipy.optimize import linear_sum_assignment
from lapsolver import solve_dense
import time
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class SimpleCNNContainerConvBlocks(nn.... | 4,600 | 37.341667 | 105 | py |
FedMA | FedMA-master/matching/pfnm.py | from .utils import *
import copy
#from joblib import Parallel, delayed
from .gaus_marginal_matching import match_local_atoms
import torch
# atoms_j_cuda = torch.from_numpy(atoms_j).to('cuda:0')
# global_atoms_cuda = torch.from_numpy(global_atoms).to('cuda:0')
# denum_match_cuda = torch.from_numpy(denum_match).to('cud... | 121,897 | 58.753922 | 236 | py |
GWNN | GWNN-master/GraphWaveletNetwork/layers.py | from inits import *
import tensorflow as tf
from sklearn.preprocessing import normalize
flags = tf.app.flags
FLAGS = flags.FLAGS
# global unique layer ID dictionary for layer name assignment
_LAYER_UIDS = {}
def get_layer_uid(layer_name=''):
"""Helper function, assigns unique layer IDs."""
if layer_name not ... | 13,487 | 34.125 | 136 | py |
FACIL | FACIL-master/src/last_layer_analysis.py | import torch
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
matplotlib.use('Agg')
def last_layer_analysis(heads, task, taskcla, y_lim=False, sort_weights=False):
"""Plot last layer weight and bias analysis"""
print('Plotting last layer analysis...')
num_classes = sum([x for (_, x) in... | 2,533 | 39.870968 | 122 | py |
FACIL | FACIL-master/src/utils.py | import os
import torch
import random
import numpy as np
cudnn_deterministic = True
def seed_everything(seed=0):
"""Fix all random seeds"""
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
os.environ['PYTHONHASHSEED'] = str(seed)
torch.backend... | 1,111 | 30.771429 | 116 | py |
FACIL | FACIL-master/src/main_incremental.py | import os
import time
import torch
import argparse
import importlib
import numpy as np
from functools import reduce
import utils
import approach
from loggers.exp_logger import MultiLogger
from datasets.data_loader import get_loaders
from datasets.dataset_config import dataset_config
from last_layer_analysis import las... | 17,238 | 53.381703 | 120 | py |
FACIL | FACIL-master/src/networks/network.py | import torch
from torch import nn
from copy import deepcopy
class LLL_Net(nn.Module):
"""Basic class for implementing networks"""
def __init__(self, model, remove_existing_head=False):
head_var = model.head_var
assert type(head_var) == str
assert not remove_existing_head or hasattr(mo... | 3,664 | 37.177083 | 118 | py |
FACIL | FACIL-master/src/networks/vggnet.py | from torch import nn
import torch.nn.functional as F
class VggNet(nn.Module):
""" Following the VGGnet based on VGG16 but for smaller input (64x64)
Check this blog for some info: https://learningai.io/projects/2017/06/29/tiny-imagenet.html
"""
def __init__(self, num_classes=1000):
super()... | 2,322 | 38.372881 | 116 | py |
FACIL | FACIL-master/src/networks/resnet32.py | import torch.nn as nn
__all__ = ['resnet32']
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=1, bias=False)
class BasicBlock(nn.Module):
expansion = 1
def __init__(self, inplanes, planes,... | 4,245 | 35.603448 | 116 | py |
FACIL | FACIL-master/src/networks/lenet.py | from torch import nn
import torch.nn.functional as F
class LeNetArch(nn.Module):
"""LeNet-like network for tests with MNIST (28x28)."""
def __init__(self, in_channels=1, num_classes=10, **kwargs):
super().__init__()
# main part of the network
self.conv1 = nn.Conv2d(in_channels, 6, 5)
... | 1,159 | 30.351351 | 116 | py |
FACIL | FACIL-master/src/networks/__init__.py | from torchvision import models
from .lenet import LeNet
from .vggnet import VggNet
from .resnet32 import resnet32
# available torchvision models
tvmodels = ['alexnet',
'densenet121', 'densenet169', 'densenet201', 'densenet161',
'googlenet',
'inception_v3',
'mobilenet_v2... | 1,558 | 34.431818 | 112 | py |
FACIL | FACIL-master/src/loggers/tensorboard_logger.py | from torch.utils.tensorboard import SummaryWriter
from loggers.exp_logger import ExperimentLogger
import json
import numpy as np
class Logger(ExperimentLogger):
"""Characterizes a Tensorboard logger"""
def __init__(self, log_path, exp_name, begin_time=None):
super(Logger, self).__init__(log_path, ex... | 1,883 | 34.54717 | 79 | py |
FACIL | FACIL-master/src/loggers/disk_logger.py | import os
import sys
import json
import torch
import numpy as np
from datetime import datetime
from loggers.exp_logger import ExperimentLogger
class Logger(ExperimentLogger):
"""Characterizes a disk logger"""
def __init__(self, log_path, exp_name, begin_time=None):
super(Logger, self).__init__(log_p... | 2,837 | 36.342105 | 120 | py |
FACIL | FACIL-master/src/datasets/data_loader.py | import os
import numpy as np
from torch.utils import data
import torchvision.transforms as transforms
from torchvision.datasets import MNIST as TorchVisionMNIST
from torchvision.datasets import CIFAR100 as TorchVisionCIFAR100
from torchvision.datasets import SVHN as TorchVisionSVHN
from . import base_dataset as baseda... | 9,957 | 48.79 | 120 | py |
FACIL | FACIL-master/src/datasets/base_dataset.py | import os
import random
import numpy as np
from PIL import Image
from torch.utils.data import Dataset
class BaseDataset(Dataset):
"""Characterizes a dataset for PyTorch -- this dataset pre-loads all paths in memory"""
def __init__(self, data, transform, class_indices=None):
"""Initialization"""
... | 4,882 | 36.852713 | 112 | py |
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