Deep Learning with JAX

Accelerate deep learning and other number-intensive tasks with JAX, Google's awesome high-performance numerical computing library.

The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google's Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations.