# ritchieng/the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Repository: https://github.com/ritchieng/the-incredible-pytorch
Canonical: https://ross.abutalabs.com/products/the-incredible-pytorch
License: MIT
License Family: permissive
Topics: pytorch, python, deep-learning-tutorial, deep-neural-networks, deep-learning-library, deep-learning
Last push: 2026-07-22T04:42:11+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 35, longevity 100
- inputs: {"age_days": 3490, "days_push": 42, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 12634, forks 2213 (observed 2026-08-28T04:10:59.463283+00:00)

## What it is
A curated list of tutorials, papers, projects, libraries, videos, and communities related to PyTorch. It serves as a reference index for learning and finding deep learning resources built on the PyTorch ecosystem.

## Use cases
- find pytorch tutorials for deep learning
- discover pytorch projects and libraries
- learn about llms and agentic ai with pytorch
- find research papers on cnns, rnns, and transformers
- locate pytorch communities and books
- explore resources for computer vision and nlp in pytorch

## When to choose
- you want a broad curated index of PyTorch learning materials
- you are looking for tutorials, papers, or example projects across many deep learning topics
- you want to discover PyTorch-based tools for LLMs, vision, NLP, or GANs

## When to avoid
- you need runnable software rather than a list of links
- you use a framework other than PyTorch such as TensorFlow or JAX
- you need a single maintained tutorial rather than a collection of external resources

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, documentation
- domain: deep-learning, machine-learning, tutorials, awesome-lists
- platform: python
- tags: pytorch, curated-list, awesome-list, tutorials, papers, llms

## Member repositories
- ritchieng/the-incredible-pytorch (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:59.463283+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:13:54.522296+00:00, confidence not recorded.
  - readme: https://github.com/ritchieng/the-incredible-pytorch (fetched 2026-08-28T04:10:59.463283+00:00, sha be069d6c7bf9)
- Data as of 2026-08-30T08:39:29.467469+00:00.