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// Train & fine-tune

jaxjax-v0.11.2

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Open source Maintained For developers

Official site ↗ GitHub ↗

IN ONE PARAGRAPH

jax is composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.

Good for: Developers and teams who want to train & fine-tune.

01How to start

  1. 1Read the official quick-start (link above).
  2. 2Install from the official package registry: pip install jax
  3. 3Try it on a small example before wiring it into a project.

PyPI: jax

02Alternatives & comparison

Compare side by side →
keras Deep Learning for humans ★ 64k PyTorch Tensors and Dynamic neural networks in Python with strong GPU acceleration ★ 105k flax Flax is a neural network library for JAX that is designed for flexibility. ★ 7.3k trainer Distributed AI Model Training and LLM Fine-Tuning on Kubernetes ★ 2.2k tensorflow An Open Source Machine Learning Framework for Everyone ★ 201k
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