【新智元導(dǎo)讀】bharathgs在Github上維護(hù)整理了一個(gè)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(jì)算機(jī)視覺、機(jī)器學(xué)習(xí)、深度學(xué)習(xí)等庫，是學(xué)習(xí)Pytorch必選資源。

項(xiàng)目地址：

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

PyTorch 是什么？

PyTorch是一個(gè)用于科學(xué)計(jì)算和深度學(xué)習(xí)的Python擴(kuò)展庫。它便于學(xué)習(xí)、編寫和調(diào)試，支持靈活的動(dòng)態(tài)計(jì)算圖和GPU高速運(yùn)算，具有完善的研發(fā)生態(tài)和技術(shù)社區(qū)。PyTorch于2017年由Facebook正式推出后，河南物流 ，迅速引起了人工智能研發(fā)人員的關(guān)注，張家港物流 ，目前已成為最受重視的機(jī)器學(xué)習(xí)軟件庫之一。近日，F(xiàn)acebook 在首屆 PyTorch 開發(fā)者大會(huì)發(fā)布了?PyTorch1.0 預(yù)覽版，標(biāo)志著這一框架更為穩(wěn)定可用。

目錄

一. 自然語言與語音處理NLP & Speech Processing

二. 計(jì)算機(jī)視覺CV

三. 概率生成庫

四. 其他庫

五. 教程和例子

六. 論文實(shí)現(xiàn)

七.其他Pytorch資源

目錄內(nèi)容

Pytorch 官網(wǎng)

項(xiàng)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?

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(jì)算機(jī)視覺

pytorch vision?: Datasets, Transforms and Models specific to Computer Vision.

pt-styletransfer: Neural style transfer as a class in PyTorch.

OpenFacePytorch: PyTorch module to use OpenFace's nn4.small2.v1.t7 model

img_classification_pk_pytorch: Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

SparseConvNet: Submanifold sparse convolutional networks.

Convolution_LSTM_pytorch: A multi-layer convolution LSTM module

face-alignment:?

2D and 3D Face alignment library build using pytorch adrianbulat.com

pytorch-semantic-segmentation: PyTorch for Semantic Segmentation.

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.

pytorch-cnn-finetune: Fine-tune pretrained Convolutional Neural Networks with PyTorch.

detectorch: Detectorch - detectron for PyTorch

Augmentor: Image augmentation library in Python for machine learning.?

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. 概率生成庫

ptstat: Probabilistic Programming and Statistical Inference in PyTorch

pyro: Deep universal probabilistic programming with Python and PyTorch?

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.