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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
| Date | Stars |
|---|---|
| 2026-07-24 | 16603 |
| 2026-07-25 | 16605 |
| 2026-07-28 | 16605 |
| 2026-07-30 | 16611 |
| 2026-08-06 | 16611 |
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Awesome-Pytorch-list ========================  <p align="center"> <img src="https://img.shields.io/badge/stars-12400+-brightgreen.svg?style=flat"/> <img src="https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat"> </p> ## Contents - [Pytorch & related libraries](#pytorch--related-libraries) - [NLP & Speech Processing](#nlp--Speech-Processing) - [Computer Vision](#cv) - [Probabilistic/Generative Libraries](#probabilisticgenerative-libraries) - [Other libraries](#other-libraries) - [Tutorials, books & examples](#tutorials-books--examples) - [Paper implementations](#paper-implementations) - [Talks & Conferences](#talks--conferences) - [Pytorch elsewhere](#pytorch-elsewhere) ## Pytorch & related libraries 1. [pytorch](http://pytorch.org): Tensors and Dynamic neural networks in Python with strong GPU acceleration. 2. [Captum](https://github.com/pytorch/captum): Model interpretability and understanding for PyTorch. ### NLP & Speech Processing: 1. [pytorch text](https://github.com/pytorch/text): Torch text related contents. 2. [pytorch-seq2seq](https://github.com/IBM/pytorch-seq2seq): A framework for sequence-to-sequence (seq2seq) models implemented in PyTorch. 3. [anuvada](https://github.com/Sandeep42/anuvada): Interpretable Models for NLP using PyTorch. 4. [audio](https://github.com/pytorch/audio): simple audio I/O for pytorch. 5. [loop](https://github.com/facebookresearch/loop): A method to generate speech across multiple speakers 6. [fairseq-py](https://github.com/facebookresearch/fairseq-py): Facebook AI Research Sequence-to-Sequence Toolkit written in Python. 7. [speech](https://github.com/awni/speech): PyTorch ASR Implementation. 8. [OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py): Open-Source Neural Machine Translation in PyTorch http://opennmt.net 9. [neuralcoref](https://github.com/huggingface/neuralcoref): State-of-the-art coreference resolution based on neural nets and spaCy huggingface.co/coref 10. [sentiment-discovery](https://github.com/NVIDIA/sentiment-discovery): Unsupervised Language Modeling at scale for robust sentiment classification. 11. [MUSE](https://github.com/facebookresearch/MUSE): A library for Multilingual Unsupervised or Supervised word Embeddings 12. [nmtpytorch](https://github.com/lium-lst/nmtpytorch): Neural Machine Translation Framework in PyTorch. 13. [pytorch-wavenet](https://github.com/vincentherrmann/pytorch-wavenet): An implementation of WaveNet with fast generation 14. [Tacotron-pytorch](https://github.com/soobinseo/Tacotron-pytorch): Tacotron: Towards End-to-End Speech Synthesis. 15. [AllenNLP](https://github.com/allenai/allennlp): An open-source NLP research library, built on PyTorch. 16. [PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP): Text utilities and datasets for PyTorch pytorchnlp.readthedocs.io 17. [quick-nlp](https://github.com/outcastofmusic/quick-nlp): Pytorch NLP library based on FastAI. 18. [TTS](https://github.com/mozilla/TTS): Deep learning for Text2Speech 19. [LASER](https://github.com/facebookresearch/LASER): Language-Agnostic SEntence Representations 20. [pyannote-audio](https://github.com/pyannote/pyannote-audio): Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding 21. [gensen](https://github.com/Maluuba/gensen): Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. 22. [translate](https://github.com/pytorch/translate): Translate - a PyTorch Language Library. 23. [espnet](https://github.com/espnet/espnet): End-to-End Speech Processing Toolkit espnet.github.io/espnet 24. [pythia](https://github.com/facebookresearch/pythia): A software suite for Visual Question Answering 25. [UnsupervisedMT](https://github.com/facebookresearch/UnsupervisedMT): Phrase-Based & Neural Unsupervised Machine T
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bharath g s · @betterup
651
Benedek Rozemberczki · @google · United Kingdom
11
Poonam Ligade · @jarvislabs-ai · India
5
Fitsum Reda · NVIDIA · United States
3
Zhedong Zheng · University of Macau · China
3
Rho · H2O.ai
3
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Tzu-Wei Huang · Taiwan
2
Igor Susmelj · Lightly · Switzerland
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Wenwei Zhang · MMLab, NTU · Singapore
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Shiv Dhar
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Sean Robertson · Nuve Platform · United States
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Roman Tezikov · Cyprus
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uflight · Morocco
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Navin Pai · R[o]b[o] Zombie Productions · India
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Dr. sc. Matthew Mirman · Extensional · United States
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Markus Fleischhacker · CERN · Switzerland
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Maria Boerner · Germany
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Romain Brégier · Naver LABS Europe
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b2d096ca9c1cd99a, topic:deep-learning, topic:neural-network, topic:pytorch
matched fp:b2d096ca9c1cd99a, topic:nlp, topic:natural-language-processing, readme:machine translation
matched fp:b2d096ca9c1cd99a, topic:awesome, topic:awesome-list, topic:papers