01 / Technologies / AI / ML

Detect PyTorch in any GitHub repo

PyTorch is the open-source deep learning framework from Meta, used for research and production machine learning.

Why show PyTorch on your README

ML repos combine Python, Jupyter, PyTorch and Hugging Face; the card groups them under AI/ML automatically.

How PyTorch is detected

Stack Fingerprint reads the repo's full file tree in one GitHub API call and flags PyTorch when it finds any of these:

  • Dependencies in Python (requirements.txt / pyproject.toml): torch

PyTorch README badge

A static badge you can paste anywhere in Markdown:

PyTorch badge

Markdown
![PyTorch](https://img.shields.io/badge/PyTorch-EE4C2C?style=for-the-badge&logo=pytorch&logoColor=white)

Or let the repo describe itself

Static badges go stale the moment you swap a dependency. A Stack Fingerprint card is generated from the repo, so PyTorch (and everything around it) appears or disappears on its own:

Tech stack card for pytorch/examples
pytorch/examples · generated live from the repo
README.md
[![Stack Fingerprint](https://stackfingerprint.vercel.app/api/card?repo=OWNER/REPO)](https://stackfingerprint.vercel.app/?repo=OWNER/REPO)

Replace OWNER/REPO with your repository, or open the builder to pick a theme and layout.