MlX offers a local web interface to browse, download, and run ML models via Hugging Face or local sources. It supports searching by tags or tasks, visualization of model metadata, quick inference demos, automatic setup of runtime environments, and works with PyTorch, TensorFlow, and ONNX. Ideal for researchers exploring and testing models via browser.

Features

  • Browse and search ML models from Hugging Face or local storage
  • View model metadata and performance tags
  • One-click inference demos in browser
  • Automatically sets up runtime environments
  • Converts between model formats (ONNX, TorchScript)
  • Works offline/local without requiring cloud services

Project Samples

mlx Screenshot 1

Project Activity

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Categories

Machine Learning

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ Machine Learning Software

Registered

2025-07-08
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