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@Canyon-ml

Canyon

Supervised, Unsupervised, and Reinforcement Learning

Canyon

A Framework for Supervised, Unsupervised, and Reinforcement Learning

Current Goals:

Target High-Performance-Computing platforms for Deep Learning and Reinforcement Learning

Create an Interface in Rust that is easy to learn, use, and understand.

Provide extensive documentation.

Be a learning tool for both HPC and Machine Learning for years to come.

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  1. gtensor gtensor Public

    Tensor library for Soul-ML

    Rust

  2. canyon-core canyon-core Public

    The Soul Module System - CNN, RNN, DNN.

    Rust

Repositories

Showing 7 of 7 repositories
  • libml Public

    Library of Functions and their Derivatives for Machine Learning

    Canyon-ml/libml’s past year of commit activity
    Rust 1 0 0 0 Updated Oct 4, 2023
  • canyon-sys Public

    Rust Bindings for Cuda, CuDNN,

    Canyon-ml/canyon-sys’s past year of commit activity
    Rust 1 1 0 0 Updated Aug 7, 2023
  • gtensor Public

    Tensor library for Soul-ML

    Canyon-ml/gtensor’s past year of commit activity
    Rust 0 0 0 0 Updated Jan 10, 2023
  • canyon-core Public

    The Soul Module System - CNN, RNN, DNN.

    Canyon-ml/canyon-core’s past year of commit activity
    Rust 0 0 0 0 Updated Nov 7, 2022
  • .github Public

    Config Files

    Canyon-ml/.github’s past year of commit activity
    0 0 0 0 Updated Nov 7, 2022
  • canyon Public

    The Deep Neural Network Frontend for The Soul Machine Learning Framework

    Canyon-ml/canyon’s past year of commit activity
    Rust 0 0 0 0 Updated Oct 31, 2022
  • gradient-descent-example Public

    A Simple Example Demonstrating Gradient Descent through Linear Regression.

    Canyon-ml/gradient-descent-example’s past year of commit activity
    Rust 0 0 0 0 Updated Oct 6, 2022

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