ml-explore

    ml-explore/mlx-examples

    Examples in the MLX framework

    backend
    mlx
    Python
    MIT
    9.1K stars
    1.2K forks
    9.1K GitHub watchers
    Updated Nov 4, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 181 contributors on GitHub.

    Use Cases & Benefits

    • Provides a collection of standalone machine learning model examples using the MLX framework in Python.
    • Enables efficient experimentation with diverse ML models optimized for Apple silicon and easy integration with Hugging Face.
    • Use for learning and prototyping text-based models like transformers, LLaMA, and BERT with practical training scripts.
    • Use for developing and testing image generation and classification models including Stable Diffusion and ResNets on CIFAR-10.
    • Use for exploring multimodal and audio models such as CLIP embeddings, Whisper speech recognition, and MusicGen audio generation.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    • No commits in the last six months (last push Apr 2026).
    • No GitHub releases; pin a commit or tag instead of a release.

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    From the README

    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. Some more useful examples are listed below. Check-out MLX LM for a more fully featured Python package for LLMs with MLX.

    Excerpt from the ml-explore/mlx-examples README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.2K+21

    Open issues

    185+19

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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