Jax is a high-performance Python package, built to accelerate machine learning research. JAX provides a lightweight API for array-based computing - much like NumPy. It adds a set of composable function transformations, including automatic differentiation, just-in-time (JIT) compilation, and automated vectorization and parallelization of your code.