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JAX

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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