JAX is a Python library for high-performance numerical computing and large-scale machine learning. It combines a NumPy-like API with composable program transformations, letting developers differentiate, compile, vectorize, and scale numerical code across CPUs, GPUs, TPUs, and other accelerators. The projectThe post JAX – Python library for high-performance numerical computing appeared first on LinuxLinks.