The Incredible PyTorch
A community-curated list of PyTorch tutorials, papers, libraries and projects, organized by topic.
- Stars
- 12.7k
- Forks
- 2.2k
- Licence
- MIT
- Language
- —
- Last update
- 6 days ago
- Type
- Curated list
What it is
The Incredible PyTorch is a long, hand-curated list of links related to PyTorch, the Python deep learning library. It groups resources into sections such as tutorials, large language models, agentic AI, computer vision, NLP, and reinforcement learning, each pointing to external repositories or pages. It is a reading and discovery guide rather than software you install and run.
- Find an official PyTorch tutorial or example to start with
- Browse papers and implementations in a specific area such as object detection or time series
- Discover open-source LLM projects built on PyTorch and compare them
- Locate communities, videos, and books about PyTorch
Great for
- Beginners looking for PyTorch tutorials and example projects to work through
- Researchers searching for PyTorch implementations of papers across many subfields
- Developers exploring which open-source LLM or deep learning projects exist for PyTorch
- Students who want a broad map of the PyTorch ecosystem
Not ideal for
- People who need a single installable tool or library, since this repository only links to other projects
- Readers who expect every linked project to be maintained or verified, because the README does not describe curation or review criteria beyond accepting pull requests
How to get it
- 1
Read it online
Clone the repository locally
git clone https://github.com/ritchieng/the-incredible-pytorch - 2
Run it
- Open the README on GitHub and scan the Table of Contents
- Pick a section that matches your goal, such as Tutorials
- Open a linked tutorial, for example the Official PyTorch Tutorials
- Follow that project's own setup instructions
- 3
Get the most out of it
- Start with the Tutorials section and the official PyTorch examples before moving to niche topics
- Use the Table of Contents to jump directly to the subfield you care about
- Check the date and activity of each linked project before relying on it
- Watch the repository on GitHub to see new sections as they are added
Downloads
Strengths
- Very broad coverage across many deep learning subtopics in one place
- Includes links to official PyTorch tutorials and examples
- Open to community contributions via pull requests, under the MIT license
Trade-offs
- It is a list of links, so quality varies by linked project and the README gives no review standard
- The README is long and some sections may be out of date; the visible text does not confirm recency of each link
- Contains some promotional links, such as tracked campaign URLs in the tutorials section
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| the-incredible-pytorch (this) | 12.7k | Curated list | beginner | 6 days ago | Beginners looking for PyTorch tutorials and example projects to work through |
| annotated_deep_learning_paper_implementations | 67.6k | Learning resource | intermediate | 4 days ago | Students learning how transformers, GANs, or optimizers work internally |
| Made-With-ML | 49.9k | Learning resource | intermediate | 8 months ago | Software engineers who want to learn how ML models get deployed and maintained |
| pytorch-tutorial | 32.5k | Learning resource | intermediate | 3.2 years ago | Researchers or engineers who already know Python and want to learn PyTorch |
| pytorch-deep-learning | 19.3k | Learning resource | beginner | 1 months ago | Beginners in machine learning who want to learn PyTorch in a hands-on, code-first way |
| LaTeX-OCR | 16.6k | AI model / agent | intermediate | 1.8 years ago | Students who want to turn a handwritten or printed formula photo into editable LaTeX |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.