PyTorch資源列表：450個NLP/CV/SP、論文實現、教程、示例

新智元推薦

來源：專知（Quan_Zhuanzhi）

【新智元導讀】bharathgs在Github上維護整理了一個PyTorch的資源站，包括論文、代碼、教程等，涉及自然語言處理與語音處理、計算機視覺、機器學習、深度學習等庫，是學習Pytorch必選資源。

項目地址：

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

PyTorch 是什麼？

PyTorch是一個用於科學計算和深度學習的Python擴展庫。它便於學習、編寫和調試，支持靈活的動態計算圖和GPU高速運算，具有完善的研發生態和技術社區。PyTorch於2017年由Facebook正式推出後，迅速引起了人工智慧研發人員的關注，目前已成為最受重視的機器學習軟體庫之一。近日，Facebook 在首屆 PyTorch 開發者大會發布了PyTorch1.0 預覽版，標誌著這一框架更為穩定可用。

目錄

一. 自然語言與語音處理NLP & Speech Processing

二. 計算機視覺CV

三. 概率生成庫

四. 其他庫

五. 教程和例子

六. 論文實現

七.其他Pytorch資源

目錄內容

Pytorch 官網

項目鏈接：https://github.com/pytorch/pytorch/releases

一. 自然語言與語音處理

pytorch text : Torch text related contents.

pytorch-seq2seq: A framework for sequence-to-sequence (seq2seq) models implemented in PyTorch.

anuvada: Interpretable Models for NLP using PyTorch.

audio: simple audio I/O for pytorch.

loop: A method to generate speech across multiple speakers

fairseq-py: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

speech: PyTorch ASR Implementation.

OpenNMT-py: Open-Source Neural Machine Translation in PyTorch http://opennmt.net

neuralcoref: State-of-the-art coreference resolution based on neural nets and spaCy huggingface.co/coref

sentiment-discovery: Unsupervised Language Modeling at scale for robust sentiment classification.

MUSE: A library for Multilingual Unsupervised or Supervised word Embeddings

nmtpytorch: Neural Machine Translation Framework in PyTorch.

pytorch-wavenet: An implementation of WaveNet with fast generation

Tacotron-pytorch: Tacotron: Towards End-to-End Speech Synthesis.

AllenNLP: An open-source NLP research library, built on PyTorch.

PyTorch-NLP: Text utilities and datasets for PyTorch pytorchnlp.readthedocs.io

quick-nlp: Pytorch NLP library based on FastAI.

TTS: Deep learning for Text2Speech

LASER: Language-Agnostic SEntence Representations

pyannote-audio: Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

gensen: Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.

translate: Translate - a PyTorch Language Library.

espnet: End-to-End Speech Processing Toolkit espnet.github.io/espnet

pythia: A software suite for Visual Question Answering

UnsupervisedMT: Phrase-Based & Neural Unsupervised Machine Translation.

jiant: The jiant sentence representation learning toolkit.

二. 計算機視覺

三. 概率生成庫

ptstat: Probabilistic Programming and Statistical Inference in PyTorch

pyro: Deep universal probabilistic programming with Python and PyTorch http://pyro.ai

probtorch: Probabilistic Torch is library for deep generative models that extends PyTorch.

paysage: Unsupervised learning and generative models in python/pytorch.

pyvarinf: Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch.

pyprob: A PyTorch-based library for probabilistic programming and inference compilation.

mia: A library for running membership inference attacks against ML models.

四. 其他庫

pytorch extras : Some extra features for pytorch.

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.

torch-sampling : This package provides a set of transforms and data structures for sampling from in-memory or out-of-memory data.

torchcraft-py : Python wrapper for TorchCraft, a bridge between Torch and StarCraft for AI research.

aorun : Aorun intend to be a Keras with PyTorch as backend.

logger : A simple logger for experiments.

PyTorch-docset : PyTorch docset! use with Dash, Zeal, Velocity, or LovelyDocs.

convert_torch_to_pytorch : Convert torch t7 model to pytorch model and source.

pretrained-models.pytorch: The goal of this repo is to help to reproduce research papers results.

pytorch_fft : PyTorch wrapper for FFTs

五. 教程例子

Practical Pytorch: Tutorials explaining different RNN models

DeepLearningForNLPInPytorch : An IPython Notebook tutorial on deep learning, with an emphasis on Natural Language Processing.

pytorch-tutorial : tutorial for researchers to learn deep learning with pytorch.

pytorch-exercises : pytorch-exercises collection.

pytorch tutorials : Various pytorch tutorials.

pytorch examples : A repository showcasing examples of using pytorch

pytorch practice : Some example scripts on pytorch.

pytorch mini tutorials : Minimal tutorials for PyTorch adapted from Alec Radford"s Theano tutorials.

pytorch text classification : A simple implementation of CNN based text classification in Pytorch

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. 論文實現

google_evolution : This implements one of result networks from Large-scale evolution of image classifiers by Esteban Real, et. al.

pyscatwave : Fast Scattering Transform with CuPy/PyTorch,read the paper here

scalingscattering : Scaling The Scattering Transform : Deep Hybrid Networks.

deep-auto-punctuation : a pytorch implementation of auto-punctuation learned character by character.

Realtime_Multi-Person_Pose_Estimation : This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here .

PyTorch-value-iteration-networks : PyTorch implementation of the Value Iteration Networks (NIPS "16) paper

pytorch_Highway : Highway network implemented in pytorch.

pytorch_NEG_loss : NEG loss implemented in pytorch.

pytorch_RVAE : Recurrent Variational Autoencoder that generates sequential data implemented in pytorch.

pytorch_TDNN : Time Delayed NN implemented in pytorch.

七. 其他Pytorch資源

詳細資源請看項目地址。

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新智元於9月20日在北京國家會議中心舉辦AI WORLD 2018世界人工智慧峰會，邀請機器學習教父、CMU教授 Tom Mitchell，邁克思·泰格馬克，周志華，陶大程，陳怡然等AI領袖一起關注機器智能與人類命運。

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