{"id":1082,"slug":"mlx","name":"MLX","short_description":"An array framework for Apple silicon.","url":"https://github.com/topics/mlx","github_count":1382,"created_by":"Apple","logo_url":"https://explore-feed.github.com/topics/mlx/mlx.png","released":"December 13, 2023","wikipedia_url":null,"related_topics":[],"aliases":["ml-explore"],"github_url":null,"content":"\u003cp\u003eMLX is a NumPy-like array framework designed for efficient and flexible machine learning on Apple silicon, brought to you by Apple machine learning research.\u003c/p\u003e\n","created_at":"2024-11-15T00:18:51.785Z","updated_at":"2026-06-22T00:19:53.076Z","topic_url":"https://awesome.ecosyste.ms/api/v1/topics/mlx","html_url":"https://awesome.ecosyste.ms/topics/mlx","projects_url":"https://awesome.ecosyste.ms/api/v1/projects?keyword=mlx","lists_url":"https://awesome.ecosyste.ms/api/v1/lists?topic=mlx"}