n2cholas/awesome-jax resource
JAX - A curated list of resources https://github.com/google/jax observed · 2026-08-28
Health v2 · maintenance only
61/100
- Activity 63
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2082
- days_rel: n/a
- days_push: 225
- n_releases_24m: 0
Adoption not part of the score
2157 stars · 169 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated list of libraries, models, tutorials, papers, and other resources for the JAX numerical computing and machine learning ecosystem. It serves as a discovery index rather than a software package itself.
Use cases
- find jax libraries for neural networks
- learn jax through tutorials and blog posts
- discover deep learning research projects built on jax
- compare jax neural network libraries like flax and haiku
- find graph neural network tools in the jax ecosystem
- locate papers and videos about jax
When to choose
- you are starting with JAX and want a map of the ecosystem
- you need to discover libraries, tutorials, or papers related to JAX
When to avoid
- you need an actual library or tool rather than a list of links
- you need resources for frameworks other than JAX
Facets
learning-resource · maturity active
machine-learning deep-learning machine-learning deep-learning awesome-lists tutorials python cross-platform jax awesome-list curated-resources xla autodiff numpy gpu
1 source
- readme: https://github.com/n2cholas/awesome-jax · fetched 2026-08-28 · 91635476719f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| n2cholas/awesome-jax | main | 61 |
For agents
markdown · JSON · MCP: product_card(name="n2cholas/awesome-jax")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem