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We intend to make it easy for researchers to extend and improve mlx with the goal of quickly exploring new ideas Mlx omni server provides dual api compatibility with both openai and anthropic apis, enabling seamless local inference on apple silicon using the mlx framework. The design of mlx is inspired by frameworks like numpy, pytorch, jax,.

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Welcome to the apple mlx tutorials repository Mlx swift expands mlx to the swift language, making research and experimentation easier on apple silicon. This repository is dedicated to providing comprehensive tutorials and examples for apple's new deep learning framework, mlx.

Mlx examples this repo contains a variety of standalone examples using the mlx framework

The mnist example is a good starting point to learn how to use mlx This repo aims to benchmark apple's mlx operations and layers, on all apple silicon chips, along with some gpus Everyone can contribute to the benchmark! Verbatim from their own repo, mlx is an array framework for machine learning on apple silicon, brought to you by apple machine learning research. it is an open source competitor to.

Mlx is an array framework for machine learning on apple silicon