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Apple's Open Source Machine Learning Framework designed for Apple Silicon chip

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Share tool · MLX

What is MLX?

MLX is an array framework for machine learning developed by Apple's Machine Learning Research Team. The Open Source Framework is designed for Apple Silicon chips and is optimized from NumPy, PyTorch, Jax and ArrayFire

MLX is a NumPy-like array framework designed for efficient and flexible machine learning on…

The Python API closely follows NumPy with a few exceptions. MLX also has a fully…

Key features

  • API

  • Groupable Function Conversion

  • Inert calculations

  • Dynamic Chart Build

  • Multi-equipment

  • Unified Memory

Use cases and audience

To be edited for verification

  • In-depth learning model training
  • Data analysis and processing
  • Scientific research
  • Industrial applications
Input

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Output

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