Apple MLX
An array framework for machine learning on Apple silicon
Apple MLX launched on December 12, 2023 with 138 votes, #357 of 3,780 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
An open source library for “large-scale deep learning models” running on the public cloud and a framework for machine learning on Apple silicon. It can be used to train or fine tune transformer language models on Apple hardware.
A framework for machine learning on Apple silicon.
MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research. Familiar APIs : MLX has a Python API that closely follows NumPy. MLX also has fully featured C++, C , and Swift APIs, which closely mirror the Python API. MLX has higher-level packages like mlx.nn and mlx.optimizers with APIs that closely follow PyTorch to simplify building more complex models. Composable function transformations : MLX supports composable function transformations for automatic differentiation, automatic vectorization, and computation graph optimization. Lazy computation : Computations in MLX are lazy. Arrays are only materialized when needed. Dynamic graph…from pypi.org
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