Jax

JAX is an open-source Python library developed by Google for high-performance numerical computing and machine learning. It provides a NumPy-compatible API while adding powerful features such as automatic differentiation and just-in-time (JIT) compilation, enabling efficient execution on modern hardware.

Features of JAX:

• NumPy-compatible API for easy adoption and readability.
• Automatic differentiation for efficient gradient-based optimization.
• Just-in-time (JIT) compilation using XLA for high performance.
• Efficient execution on CPUs as well as accelerators like GPUs and TPUs.
• Composable transformations such as grad, jit, vmap, and pmap.
• Strong ecosystem support with libraries like Flax, Optax, and Haiku.

Disclaimer: JAX is open-source software released under the Apache License 2.0. It is developed by Google and the open-source community. Users should consult the official documentation for updates, security advisories, and best practices. Use JAX according to your project requirements and compliance policies.