Quickstart: How to think in JAX — JAX documentation
JAX is a library for array-oriented numerical computation (à la NumPy), with automatic differentiation and JIT compilation to enable high-performance machine learning research. …
GitHub - jax-ml/jax: Composable transformations of Python…
What is JAX? JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine …
jax · PyPI
Dec 18, 2025 · JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine …
JAX (software) - Wikipedia
JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning.
Getting started with JAX for ML — JAX AI Stack
JAX is a Python library for hardware accelerator-oriented array computation and program transformation, and is the engine behind cutting-edge AI research and production models at …
JAX: High performance array computing — JAX documentation
JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning. JAX …
Install JAX in Python for High-Performance Computing - PyTutorial
Jun 14, 2025 · Install JAX in Python for high-performance computing. Follow our guide for CPU & GPU setup, automatic differentiation, and powerful hardware acceleration.
Tutorial 1: JAX basics.ipynb - Colab
This notebook heavily relies on https://jax.readthedocs.io/en/latest/ + some additional code/modifications, comments/notes, etc. It also has an accompanying video which may help …
jax/README.md at main · jax-ml/jax · GitHub
What is JAX? JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine …
Installation — JAX documentation
Using JAX requires installing two packages: jax, which is pure Python and cross-platform, and jaxlib which contains compiled binaries, and requires different builds for different operating …