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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.
https://github.com/ml13571/awesome-machine-learning

Last synced: about 13 hours ago
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  • Table of Contents

  • APL

    • [Tools](#tools-1)

      • naive-apl - Naive Bayesian Classifier implementation in APL. **[Deprecated]**
      • naive-apl - Naive Bayesian Classifier implementation in APL. **[Deprecated]**
  • C

    • [Tools](#tools-1)

      • Darknet - Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
      • Darknet - Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
      • Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF).
      • Hybrid Recommender System - A hybrid recommender system based upon scikit-learn algorithms. **[Deprecated]**
      • neonrvm - neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings.
      • cONNXr - An `ONNX` runtime written in pure C (99) with zero dependencies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices.
      • libonnx - A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
      • CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
      • Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF).
      • Hybrid Recommender System - A hybrid recommender system based upon scikit-learn algorithms. **[Deprecated]**
      • neonrvm - neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings.
      • cONNXr - An `ONNX` runtime written in pure C (99) with zero dependencies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices.
      • libonnx - A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
      • CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.