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

Project Activity

See All Activity >

Categories

Machine Learning

License

MIT License

Follow mlx

mlx Web Site

Other Useful Business Software
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of mlx!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ Machine Learning Software

Registered

2025-07-08