Metadata-Version: 2.1
Name: torchex
Version: 0.0.10
Summary: Pytorch Extension Module.
Home-page: https://github.com/0h-n0/torchex
Author: Koji Ono
Author-email: koji.ono@exwzd.com
License: UNKNOWN
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        # (WIP) `torchexq library
        
        `torchex` library provides advanced Neural Network Layers. You can easily use them like using original pytorch.
        
        ## Installation
        
        ```
        $ pip install torchex
        ```
        
        ## Requirements
        
        * Pytorch >= 0.4.1
        
        ## Documentation
        
        * https://torchex.readthedocs.io/en/latest/index.html
        
        ## How to use
        
        ### Lazy Modules
        
        ```python
        import torch
        import torchex.nn as exnn
        
        net = exnn.Linear(10)
        # You don't need to give the size of input for this module.
        # This network is equivalent to `nn.Linear(100, 10)`.
        
        x = troch.randn(10, 100)
        
        y = net(x)
        ```
        
        
        ## TODO
        
        ### Layers
        
        - [x] support fundamental complex operations
          - to_complex method
          - to_real method
          - complex_norm method
        - [ ] add submodule for many examples.
        - [ ] SeparableConv2D
        - [ ] LocallyConnected1D
        - [x] Highway
        - [x] Inception
        - [x] InceptionBN
        - [x] Conv2dLocal
        - [x] MLPConv2d
          * [Network In Network](https://arxiv.org/abs/1312.4400v3)
        - [ ] NaryTreeLSTM
        - [ ] StatefulZoneoutLSTM
        - [ ] StatefulPeepholeLSTM
        - [ ] StatefulMGU
        - [ ] BinaryHierarchicalSoftmax
        - [ ] BlackOut
        - [ ] CRF1d
        - [ ] SimplifiedDropconnect
        - [ ] Swish
        - [ ] NegativeSampling
        - [ ] ResidualCell
        - [ ] Attention Cell
          * [XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music](https://www.kdd.org/kdd2018/accepted-papers/view/xiaoice-banda-melody-and-arrangement-generation-framework-for-pop-music)
        - [ ] MLP Cell
          * same as above.
        - [ ] DFT2d
          * [Rotation Equivariance and Invariance in Convolutional Neural Networks](https://arxiv.org/pdf/1805.12301.pdf)
          * https://github.com/bchidest/RiCNN/tree/master/ricnn
        - [ ] My original DFT layer (made by Koji Ono)
          - [ ] DFT1d
          - [x] DFT2d
          - [ ] DFT3d  
          - [ ] iDFT1d
          - [ ] iDFT2d
          - [ ] iDFT3d  
          - [ ] RFFT1d
          - [ ] RFFT2d
          - [ ] RFFT3d  
        
        - [ ] Conic Convolutional Layers
          * same as above.
        
        ### Zoo
        
        - [x] ImageTransferNet
          
        ### Optimizer
        
        - [ ] chainer.optimizer_hooks.GradientLARS
        
        ### Atiributions
        
        - [x] Integrated Gradients
        
        ## Examples
        
        
        ## Related Projects
        
        * torchhp
          * Hyper-Parameter Turning Library for Pytorch.
        * torchrl
          * Pytorch Reinforcement Learning Library.
        * torchchem
          * TorchChem aims to provide a high quality open-source toolchain that democratizes the use of deep-learning in drug discovery, materials science, quantum chemistry, and biology.
        * torchml
          * Auto model optimization library for pytorch.
        * torcdata
          * Pytorch Datasets.
        
        ## Codes References 
        
        * Chainer
          * One of the most wonderfull DeepLearning framework.
          * https://github.com/chainer/chainer
        * NLP
          * allenNLP
            * https://github.com/allenai/allennlp
          * fairseq
            * https://github.com/pytorch/fairseq
          * text
            * https://github.com/pytorch/text
          * translate
            * https://github.com/pytorch/translate
        * Audio
          * neural_sp
            * https://github.com/hirofumi0810/neural_sp/
          * deepspeech.pytorch
            * https://github.com/SeanNaren/deepspeech.pytorch
          * Awesome Speech Recognition Speech Synthesis Papers
            * https://github.com/zzw922cn/awesome-speech-recognition-speech-synthesis-papers
          * speech
            * https://github.com/awni/speech
          * pytorch-asr
            * https://github.com/jinserk/pytorch-asr
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >3.5
Provides-Extra: docs
