jax-ml/jax
JAX is a high-performance numerical computing library for Python, enabling transformations like differentiation and JIT compilation for GPUs/TPUs.
Python
AI & Machine Learning
ML Ops
Apache-2.0
35.0K
Stars
3.5K
Forks
Oct 25, 2018
Created
Mar 5, 2026
Last Updated
Project Analytics
Stars Growth (1 Month)
+203
+0.6% change
Avg Daily Growth (1 Month)
+7.3
stars per day
Fork/Star Ratio (All Time)
9.9%
Normal engagement
Lifetime Growth
13.0
stars/day over 2.7K days
Stars Over Time
Forks Over Time
Open Issues Over Time
Pull Requests Over Time
Commits Over Time
Topics
AI-Generated Tags
jax
numerical-computing
automatic-differentiation
gpu-acceleration
Similar Projects
EbookFoundation/free-programming-books
Free programming books repository with AI-powered features
383.6K
Python
jwasham/coding-interview-university
A comprehensive computer science study plan for software engineers, with a focus on coding interviews and AI-related topics.
337.6K
vinta/awesome-python
Awesome Python framework and resource collection
285.7K
Python
openclaw/openclaw
Personal AI assistant for messaging platforms, self-hosted and multi-channel
265.0K
TypeScript
Comments (0)
Sign in to leave a comment or vote
Sign InNo comments yet. Be the first to comment!
Stay in the loop
Get weekly updates on trending AI coding tools and projects.