Automatic Differentiation

MLX is an open-source framework developed by Apple's machine learning research team, designed specifically for Apple Silicon chips. It offers a NumPy-like API, supports automatic differentiation and lazy evaluation, aiming to assist developers in efficiently developing, training, and deploying machine learning models on Apple's M-series chips.

JAX is an open-source Python library developed by Google, designed to offer high-performance numerical computing and automatic differentiation capabilities, supporting execution on CPUs, GPUs, and TPUs, compatible with NumPy, and suitable for machine learning and scientific computing.