JAX
High-performance automatic differentiation and compilation for ML research.
About JAX
Automatic differentiation and XLA compilation brought together for high-performance machine learning research.
✅ Pros
- + Enables efficient automatic differentiation
- + Supports XLA compilation for speed
- + Widely used in ML research
⚠️ Cons
- - Steep learning curve for beginners
- - Limited direct support for non-ML tasks
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Quick Info
- Pricing
- Free
- License
- CC0-1.0
- GitHub Stars
- 2,052
- Forks
- 158
- Platforms
- linux, mac, windows
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