jax
JAX is a Python library for efficient numerical computing and large-scale machine learning on accelerators like GPUs and TPUs. It provides automatic differentiation for Python and NumPy functions and compiles programs for optimal execution. With transformations like 'grad' for differentiation and 'jit' for just-in-time compilation, JAX simplifies the development of sophisticated algorithms. Contributions are welcomed through feedback and bug reporting.
