Upload requirements.txt generated by pigar

Author: carefree0910

requirements.txt

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+# Requirements automatically generated by pigar.
+# https://github.com/Damnever/pigar
+
+# Util\CythonUtil.py: 11,32
+Cython == 0.27.1
+
+# Util\Bases.py: 10
+Pillow == 4.1.1
+
+# Util\Util.py: 5
+imageio == 2.2.0
+
+# NN\Basic\Networks.py: 5
+# NN\PyTorch\Basic\Networks.py: 6,7
+# NN\PyTorch\__Dev\Networks.py: 6
+# NN\TF\Networks.py: 6,8
+# Notebooks\NN\zh-cn\Util.py: 2
+# Notebooks\SVM\zh-cn\Util.py: 2
+# Opt\Test.py: 1
+# RNN\Test\UnitTest.py: 4
+# RNN\Wrapper.py: 2
+# Util\Bases.py: 9,12
+# Util\DataToolkit.py: 3
+# Util\Util.py: 8,14
+# Zhihu\NN\_extra\one\Networks.py: 1
+# Zhihu\NN\_extra\two\Networks.py: 1
+# Zhihu\NN\two\Network.py: 1
+# _Dist\NeuralNetworks\Base.py: 16,18
+# _Dist\NeuralNetworks\_Tests\Madelon\MadelonUtil.py: 8
+# _Dist\NeuralNetworks\_Tests\Pruner\Base.py: 17,19
+# _Dist\NeuralNetworks\_Tests\Pruner\Test.py: 8
+# _Dist\NeuralNetworks\_Tests\TestUtil.py: 8
+# _Dist\TextClassification\SkRun.py: 5
+# _Dist\TextClassification\_NB.py: 6
+# a_FirstExample\Regression.py: 2
+# b_NaiveBayes\Original\GaussianNB.py: 7
+# b_NaiveBayes\Original\MultinomialNB.py: 7
+# b_NaiveBayes\Vectorized\GaussianNB.py: 7
+# b_NaiveBayes\Vectorized\MultinomialNB.py: 7
+# e_SVM\KP.py: 8
+# e_SVM\TestSVM.py: 7
+# f_NN\Networks.py: 7
+# g_CNN\Networks.py: 7
+# h_RNN\RNN.py: 10
+matplotlib == 2.0.2
+
+# NN\Basic\Layers.py: 1
+numba == 0.35.0+0.g24edca2e0.dirty
+
+# NN\Basic\Optimizers.py: 1
+# NN\PyTorch\Auto\Networks.py: 5
+# NN\PyTorch\Basic\Networks.py: 5
+# NN\PyTorch\__Dev\Networks.py: 5
+# NN\TF\Layers.py: 1
+# Notebooks\NN\zh-cn\Util.py: 1
+# Notebooks\SVM\zh-cn\Util.py: 1
+# Opt\Functions.py: 1
+# Opt\Methods.py: 3
+# RNN\Generator.py: 1
+# RNN\Test\UnitTest.py: 2
+# RNN\Wrapper.py: 1
+# Util\Bases.py: 7
+# Util\CythonUtil.py: 3,4,5
+# Util\DataToolkit.py: 1
+# Util\Util.py: 6
+# Zhihu\CvDTree\one\CvDTree.py: 3
+# Zhihu\CvDTree\three\CvDTree.py: 4
+# Zhihu\CvDTree\two\CvDTree.py: 3
+# Zhihu\NN\Layers.py: 1
+# Zhihu\NN\_extra\Optimizers.py: 1
+# Zhihu\Python\metaclass_example2.py: 1
+# Zhihu\RNN\Mnist.py: 3
+# Zhihu\RNN\RNN.py: 1
+# _Dist\ImageRecognition\Main.py: 7
+# _Dist\ImageRecognition\ToolBox.py: 7
+# _Dist\NeuralNetworks\Base.py: 14
+# _Dist\NeuralNetworks\NNUtil.py: 5
+# _Dist\NeuralNetworks\_Tests\Madelon\MadelonUtil.py: 7
+# _Dist\NeuralNetworks\_Tests\Pruner\Advanced.py: 8
+# _Dist\NeuralNetworks\_Tests\Pruner\Base.py: 15
+# _Dist\NeuralNetworks\_Tests\Pruner\Test.py: 7
+# _Dist\NeuralNetworks\_Tests\TestUtil.py: 7
+# _Dist\NeuralNetworks\b_TraditionalML\MultinomialNB.py: 1,7
+# _Dist\NeuralNetworks\b_TraditionalML\SVM.py: 7
+# _Dist\NeuralNetworks\d_Traditional2NN\Toolbox.py: 7
+# _Dist\NeuralNetworks\e_AdvancedNN\NN.py: 8
+# _Dist\NeuralNetworks\g_DistNN\NN.py: 7
+# _Dist\NeuralNetworks\h_RNN\RNN.py: 7
+# _Dist\NeuralNetworks\i_CNN\CNN.py: 7
+# _Dist\TextClassification\GenDataset.py: 3
+# _Dist\TextClassification\SkRun.py: 4
+# _Dist\TextClassification\_NB.py: 4
+# a_FirstExample\Regression.py: 1
+# b_NaiveBayes\Original\Basic.py: 7
+# b_NaiveBayes\Vectorized\Basic.py: 7
+# c_CvDTree\Cluster.py: 8
+# c_CvDTree\Node.py: 7
+# e_SVM\KP.py: 7
+# e_SVM\LinearSVM.py: 7
+# e_SVM\Perceptron.py: 7
+# e_SVM\SVM.py: 7
+# f_NN\Layers.py: 7
+# f_NN\Optimizers.py: 7
+# g_CNN\Layers.py: 7
+# h_RNN\EmbedRNN.py: 7
+# h_RNN\Mnist.py: 8
+# h_RNN\Playground.py: 1
+# h_RNN\RNN.py: 8
+# h_RNN\SpRNN.py: 8
+# i_Clustering\KMeans.py: 7
+numpy == 1.13.3
+
+# Opt\Methods.py: 6
+# Util\DataToolkit.py: 2
+# _Dist\NeuralNetworks\NNUtil.py: 7,9
+scipy == 0.19.1
+
+# NN\TF\Networks.py: 9,10
+# NN\TF\Optimizers.py: 1
+# RNN\Cell.py: 1,2,3
+# RNN\Test\Mnist.py: 3
+# RNN\Test\Operations.py: 2
+# RNN\Test\UnitTest.py: 3,5,6
+# Util\Bases.py: 8
+# Util\Util.py: 7,10,11,12
+# Zhihu\NN\Layers.py: 2
+# Zhihu\NN\Optimizers.py: 1
+# Zhihu\RNN\Mnist.py: 4
+# Zhihu\RNN\RNN.py: 4
+# _Dist\ImageRecognition\Main.py: 8
+# _Dist\ImageRecognition\ToolBox.py: 8,9
+# _Dist\NeuralNetworks\Base.py: 15
+# _Dist\NeuralNetworks\NNUtil.py: 6
+# _Dist\NeuralNetworks\_Tests\Pruner\Advanced.py: 9
+# _Dist\NeuralNetworks\_Tests\Pruner\Base.py: 16
+# _Dist\NeuralNetworks\b_TraditionalML\SVM.py: 8
+# _Dist\NeuralNetworks\e_AdvancedNN\NN.py: 9
+# _Dist\NeuralNetworks\g_DistNN\NN.py: 8
+# _Dist\NeuralNetworks\h_RNN\Cell.py: 7,8
+# _Dist\NeuralNetworks\h_RNN\RNN.py: 8
+# _Dist\NeuralNetworks\i_CNN\CNN.py: 8
+# e_SVM\LinearSVM.py: 8
+# e_SVM\SVM.py: 8
+# g_CNN\Layers.py: 8
+# g_CNN\Optimizers.py: 7
+# h_RNN\EmbedRNN.py: 8
+# h_RNN\Mnist.py: 9
+# h_RNN\RNN.py: 9,11
+# h_RNN\SpRNN.py: 9
+tensorflow_gpu == 1.4.0
+
+# NN\PyTorch\Auto\Layers.py: 1,2
+# NN\PyTorch\Optimizers.py: 1
+# NN\PyTorch\__Dev\Layers.py: 1
+# NN\PyTorch\__Dev\Networks.py: 8
+# NN\PyTorch\__Dev\Optimizers.py: 1
+# Util\Bases.py: 21,22
+# e_SVM\LinearSVM.py: 18,19
+# e_SVM\SVM.py: 16,17
+torch == 0.2.1+a4fc05a
+
+# Util\Timing.py: 2
+wrapt == 1.10.10