【新智元導讀】bharathgs在Github上維護整理了一個(ge) PyTorch的資源站,包括論文、代碼、教程等,涉及自然語言處理與(yu) 語音處理、計算機視覺、機器學習(xi) 、深度學習(xi) 等庫,是學習(xi) Pytorch必選資源。
項目地址:
https://github.com/bharathgs/Awesome-pytorch-list
PyTorch 是什麽(me) ?
PyTorch是一個(ge) 用於(yu) 科學計算和深度學習(xi) 的Python擴展庫。它便於(yu) 學習(xi) 、編寫(xie) 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(yu) 2017年由Facebook正式推出後,河南物流 ,迅速引起了人工智能研發人員的關(guan) 注,張家港物流 ,目前已成為(wei) 最受重視的機器學習(xi) 軟件庫之一。近日,Facebook 在首屆 PyTorch 開發者大會(hui) 發布了?PyTorch1.0 預覽版,標誌著這一框架更為(wei) 穩定可用。
目錄
一. 自然語言與(yu) 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(nei) 容
Pytorch 官網
項目鏈接:https://github.com/pytorch/pytorch/releases
一. 自然語言與(yu) 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. 計算機視覺
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.
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