【Github2.2K星】PyTorch资源列表：450个NLP/CV/SP、论文实现、教程、示例

新智元推荐 来源：专知（Quan_Zhuanzhi）

【新智元导读】bharathgs在Github上维护整理了一个PyTorch的资源站，包括论文、代码、教程等，涉及自然语言处理与语音处理、计算机视觉、机器学习、深度学习等库，是学习Pytorch必选资源。

项目地址：

https://github.com/bharathgs/Awesome-pytorch-list

PyTorch 是什么？

PyTorch是一个用于科学计算和深度学习的Python扩展库。它便于学习、编写和调试，支持灵活的动态计算图和GPU高速运算，具有完善的研发生态和技术社区。PyTorch于2017年由Facebook正式推出后，迅速引起了人工智能研发人员的关注，目前已成为最受重视的机器学习软件库之一。近日，Facebook 在首届 PyTorch 开发者大会发布了 PyTorch1.0 预览版，标志着这一框架更为稳定可用。

目录

一. 自然语言与语音处理NLP & Speech Processing

二. 计算机视觉CV

三. 概率生成库

四. 其他库

五. 教程和例子

六. 论文实现

七.其他Pytorch资源

目录内容

Pytorch 官网

项目链接：https://github.com/pytorch/pytorch/releases

一. 自然语言与语音处理

1. pytorch text : Torch text related contents.
2. pytorch-seq2seq: A framework for sequence-to-sequence (seq2seq) models implemented in PyTorch.
3. anuvada: Interpretable Models for NLP using PyTorch.
4. audio: simple audio I/O for pytorch.
5. loop: A method to generate speech across multiple speakers
6. fairseq-py: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
7. speech: PyTorch ASR Implementation.
8. OpenNMT-py: Open-Source Neural Machine Translation in PyTorch http://opennmt.net
9. neuralcoref: State-of-the-art coreference resolution based on neural nets and spaCy huggingface.co/coref
10. sentiment-discovery: Unsupervised Language Modeling at scale for robust sentiment classification.
11. MUSE: A library for Multilingual Unsupervised or Supervised word Embeddings
12. nmtpytorch: Neural Machine Translation Framework in PyTorch.
13. pytorch-wavenet: An implementation of WaveNet with fast generation
14. Tacotron-pytorch: Tacotron: Towards End-to-End Speech Synthesis.
15. AllenNLP: An open-source NLP research library, built on PyTorch.
16. PyTorch-NLP: Text utilities and datasets for PyTorch pytorchnlp.readthedocs.io
17. quick-nlp: Pytorch NLP library based on FastAI.
18. TTS: Deep learning for Text2Speech
19. LASER: Language-Agnostic SEntence Representations
20. pyannote-audio: Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding
21. gensen: Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.
22. translate: Translate - a PyTorch Language Library.
23. espnet: End-to-End Speech Processing Toolkit espnet.github.io/espnet
24. pythia: A software suite for Visual Question Answering
25. UnsupervisedMT: Phrase-Based & Neural Unsupervised Machine Translation.
26. jiant: The jiant sentence representation learning toolkit.

二. 计算机视觉

1. pytorch vision : Datasets, Transforms and Models specific to Computer Vision.
2. pt-styletransfer: Neural style transfer as a class in PyTorch.
3. OpenFacePytorch: PyTorch module to use OpenFace's nn4.small2.v1.t7 model
4. img_classification_pk_pytorch: Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
5. SparseConvNet: Submanifold sparse convolutional networks.
6. Convolution_LSTM_pytorch: A multi-layer convolution LSTM module
7. face-alignment: ? 2D and 3D Face alignment library build using pytorch adrianbulat.com
8. pytorch-semantic-segmentation: PyTorch for Semantic Segmentation.
9. RoIAlign.pytorch: This is a PyTorch version of RoIAlign. This implementation is based on crop_and_resize and supports both forward and backward on CPU and GPU.
10. pytorch-cnn-finetune: Fine-tune pretrained Convolutional Neural Networks with PyTorch.
11. detectorch: Detectorch - detectron for PyTorch
12. Augmentor: Image augmentation library in Python for machine learning. http://augmentor.readthedocs.io
13. s2cnn: This library contains a PyTorch implementation of the SO(3) equivariant CNNs for spherical signals (e.g. omnidirectional cameras, signals on the globe) s

三. 概率生成库

1. ptstat: Probabilistic Programming and Statistical Inference in PyTorch
2. pyro: Deep universal probabilistic programming with Python and PyTorch http://pyro.ai
3. probtorch: Probabilistic Torch is library for deep generative models that extends PyTorch.
4. paysage: Unsupervised learning and generative models in python/pytorch.
5. pyvarinf: Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch.
6. pyprob: A PyTorch-based library for probabilistic programming and inference compilation.
7. mia: A library for running membership inference attacks against ML models.

四. 其他库

1. pytorch extras : Some extra features for pytorch.
2. functional zoo : PyTorch, unlike lua torch, has autograd in it's core, so using modular structure of torch.nn modules is not necessary, one can easily allocate needed Variables and write a function that utilizes them, which is sometimes more convenient. This repo contains model definitions in this functional way, with pretrained weights for some models.
3. torch-sampling : This package provides a set of transforms and data structures for sampling from in-memory or out-of-memory data.
4. torchcraft-py : Python wrapper for TorchCraft, a bridge between Torch and StarCraft for AI research.
5. aorun : Aorun intend to be a Keras with PyTorch as backend.
6. logger : A simple logger for experiments.
7. PyTorch-docset : PyTorch docset! use with Dash, Zeal, Velocity, or LovelyDocs.
8. convert_torch_to_pytorch : Convert torch t7 model to pytorch model and source.
9. pretrained-models.pytorch: The goal of this repo is to help to reproduce research papers results.
10. pytorch_fft : PyTorch wrapper for FFTs

五. 教程例子

1. Practical Pytorch : Tutorials explaining different RNN models
2. DeepLearningForNLPInPytorch : An IPython Notebook tutorial on deep learning, with an emphasis on Natural Language Processing.
3. pytorch-tutorial : tutorial for researchers to learn deep learning with pytorch.
4. pytorch-exercises : pytorch-exercises collection.
5. pytorch tutorials : Various pytorch tutorials.
6. pytorch examples : A repository showcasing examples of using pytorch
7. pytorch practice : Some example scripts on pytorch.
8. pytorch mini tutorials : Minimal tutorials for PyTorch adapted from Alec Radford's Theano tutorials.
9. pytorch text classification : A simple implementation of CNN based text classification in Pytorch
10. cats vs dogs : Example of network fine-tuning in pytorch for the kaggle competition Dogs vs. Cats Redux: Kernels Edition. Currently #27 (0.05074) on the leaderboard.

六. 论文实现

1. google_evolution : This implements one of result networks from Large-scale evolution of image classifiers by Esteban Real, et. al.
2. pyscatwave : Fast Scattering Transform with CuPy/PyTorch,read the paper here
3. scalingscattering : Scaling The Scattering Transform : Deep Hybrid Networks.
4. deep-auto-punctuation : a pytorch implementation of auto-punctuation learned character by character.
5. Realtime_Multi-Person_Pose_Estimation : This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here .
6. PyTorch-value-iteration-networks : PyTorch implementation of the Value Iteration Networks (NIPS '16) paper
7. pytorch_Highway : Highway network implemented in pytorch.
8. pytorch_NEG_loss : NEG loss implemented in pytorch.
9. pytorch_RVAE : Recurrent Variational Autoencoder that generates sequential data implemented in pytorch.
10. pytorch_TDNN : Time Delayed NN implemented in pytorch.

七. 其他Pytorch资源

1. the-incredible-pytorch : The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
2. generative models : Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch. http://wiseodd.github.io
3. pytorch vs tensorflow : an informative thread on reddit.
4. Pytorch discussion forum
5. pytorch notebook: docker-stack : A project similar to Jupyter Notebook Scientific Python Stack
6. drawlikebobross: Draw like Bob Ross using the power of Neural Networks (With PyTorch)!
7. pytorch-tvmisc: Totally Versatile Miscellanea for Pytorch
8. pytorch-a3c-mujoco: Implement A3C for Mujoco gym envs.
9. PyTorch in 5 Minutes.
10. pytorch_chatbot: A Marvelous ChatBot implemented using PyTorch.

详细资源请看项目地址。