Machine learning research on your laptop or in a data center - by Apple
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The GitHub account of ml-explore showcases a diverse range of repositories focused on machine learning research, designed for both local and data center environments. The organization primarily uses C++, Python, Swift, and CSS, with notable projects like MLX, a framework for Apple silicon, and various examples demonstrating its application.
Top languages
Public repositories
mlx
MLX: An array framework for Apple silicon
mlx-examples
Examples in the MLX framework
mlx-lm
Run LLMs with MLX
mlx-swift-examples
Examples using MLX Swift
mlx-swift
Swift API for MLX
mlx-swift-lm
LLMs and VLMs with MLX Swift
mlx-data
Efficient framework-agnostic data loading
mlx-c
C API for MLX
mlx-onnx
MLX support for the Open Neural Network Exchange (ONNX)
mlx-framework.org
No description provided for this repository.
Frequently asked questions
What does ml-explore build on GitHub?
ml-explore builds a variety of machine learning tools and frameworks on GitHub, including the MLX framework for Apple silicon and several example repositories that illustrate its usage across different programming languages.
Which programming languages does ml-explore use?
ml-explore primarily utilizes C++, Python, Swift, and CSS in its repositories. This diverse language usage supports a wide array of machine learning applications and frameworks tailored for Apple's ecosystem.
Are ml-explore's repositories public?
Yes, all of ml-explore's repositories are public. This transparency allows the community to explore, contribute, and utilize the machine learning resources and frameworks developed by the organization.
Is this exposure intended?
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