Apple to Power AI Features with M2 Ultra Servers

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • corenet

    CoreNet: A library for training deep neural networks

  • Some likely candidates are the existing open source tools their ML team has released:

    - CoreNet, a training toolchain developed by their ML teams: https://github.com/apple/corenet. It's built on PyTorch, but uses MLX

    - MLX, Apples internal array processing framework which is C/C++/Swift (https://pypi.org/project/mlx/).

    - CoreML tools, their python package for accessing the lower-level CoreML APIs (https://github.com/apple/coremltools)

  • coremltools

    Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

  • Some likely candidates are the existing open source tools their ML team has released:

    - CoreNet, a training toolchain developed by their ML teams: https://github.com/apple/corenet. It's built on PyTorch, but uses MLX

    - MLX, Apples internal array processing framework which is C/C++/Swift (https://pypi.org/project/mlx/).

    - CoreML tools, their python package for accessing the lower-level CoreML APIs (https://github.com/apple/coremltools)

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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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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