Apple releases MLX for Apple Silicon

This page summarizes the projects mentioned and recommended in the original post on /r/LocalLLaMA
Deep Learning Jax neural-network Autograd GPU

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  • mlx

    MLX: An array framework for Apple silicon

    • https://github.com/ml-explore/mlx MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    • The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • jax

    Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

    • The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire.

  • mlx-examples

    Examples in the MLX framework

    • The MLX examples repo has a variety of examples, including:

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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