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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.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
| Date | Stars |
|---|---|
| 2026-07-24 | 12610 |
| 2026-07-25 | 12610 |
| 2026-07-28 | 12610 |
| 2026-07-30 | 12610 |
| 2026-08-06 | 12610 |
Today
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growth rate 0.00%/day
<p align="center"><img width="40%" src="the_incredible_pytorch.png" /></p> -------------------------------------------------------------------------------- <p align="center"> <img src="https://img.shields.io/badge/stars-10000+-blue.svg"/> <img src="https://img.shields.io/badge/forks-1900+-blue.svg"/> <img src="https://img.shields.io/badge/license-MIT-blue.svg"/> </p> This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible [PyTorch](http://pytorch.org/). Feel free to make a pull request to contribute to this list. # Table Of Contents <!-- vscode-markdown-toc --> - [Table Of Contents](#table-of-contents) - [Tutorials](#tutorials) - [Large Language Models (LLMs)](#large-language-models-llms) - [Agentic AI](#agentic-ai) - [Guardrails and AI Safety](#guardrails-and-ai-safety) - [Tabular Data](#tabular-data) - [TabGAN](https://github.com/Diyago/Tabular-data-generation): Synthetic tabular data generation using CTGAN, ForestDiffusion, and GReaT (LLMs) with adversarial filtering and privacy metrics. - [Visualization](#visualization) - [Explainability](#explainability) - [Object Detection](#object-detection) - [Long-Tailed / Out-of-Distribution Recognition](#long-tailed--out-of-distribution-recognition) - [Activation Functions](#activation-functions) - [Energy-Based Learning](#energy-based-learning) - [Missing Data](#missing-data) - [Architecture Search](#architecture-search) - [Continual Learning](#continual-learning) - [Optimization](#optimization) - [Quantization](#quantization) - [Quantum Machine Learning](#quantum-machine-learning) - [Neural Network Compression](#neural-network-compression) - [Facial, Action and Pose Recognition](#facial-action-and-pose-recognition) - [Super resolution](#super-resolution) - [Synthetesizing Views](#synthetesizing-views) - [Voice](#voice) - [Medical](#medical) - [3D Segmentation, Classification and Regression](#3d-segmentation-classification-and-regression) - [Video Recognition](#video-recognition) - [Recurrent Neural Networks (RNNs)](#recurrent-neural-networks-rnns) - [Convolutional Neural Networks (CNNs)](#convolutional-neural-networks-cnns) - [Segmentation](#segmentation) - [Geometric Deep Learning: Graph \& Irregular Structures](#geometric-deep-learning-graph--irregular-structures) - [Sorting](#sorting) - [Ordinary Differential Equations Networks](#ordinary-differential-equations-networks) - [Multi-task Learning](#multi-task-learning) - [GANs, VAEs, and AEs](#gans-vaes-and-aes) - [Unsupervised Learning](#unsupervised-learning) - [Adversarial Attacks](#adversarial-attacks) - [Style Transfer](#style-transfer) - [Image Captioning](#image-captioning) - [Transformers](#transformers) - [Similarity Networks and Functions](#similarity-networks-and-functions) - [Reasoning](#reasoning) - [General NLP](#general-nlp) - [Question and Answering](#question-and-answering) - [Speech Generation and Recognition](#speech-generation-and-recognition) - [Document and Text Classification](#document-and-text-classification) - [Text Generation](#text-generation) - [Text to Image](#text-to-image) - [Translation](#translation) - [Sentiment Analysis](#sentiment-analysis) - [Deep Reinforcement Learning](#deep-reinforcement-learning) - [Deep Bayesian Learning and Probabilistic Programmming](#deep-bayesian-learning-and-probabilistic-programmming) - [Spiking Neural Networks](#spiking-neural-networks) - [Anomaly Detection](#anomaly-detection) - [Regression Types](#regression-types) - [Time Series](#time-series) - [Financial Machine Learning](#financial-machine-learning) - [Synthetic Datasets](#synthetic-datasets) - [Neural Network General Improvements](#neural-network-general-improvements) - [DNN Applications in Chemistry and Physics](#dnn-applications-in-chemistry-and-physics) - [New Thinking on General Neural Network Architecture](#new-think
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Ritchie Ng · Imperial College London | NUS · Singapore
457
Benedek Rozemberczki · @google · United Kingdom
13
Utku Ozbulak · Ghent University · South Korea
9
9
Mausam Rajbanshi · Nepal
7
6
Fitsum Reda · NVIDIA · United States
3
3
Sung Kim · HKUST · Hong Kong
3
3
2
Soumith Chintala · Thinking Machines · United States
2
Roman Tezikov · Cyprus
2
2
Simon Niklaus · Canada
2
2
2
2
2
2
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:93acb10e72bf096e, topic:deep-learning, topic:pytorch