Machine Learning libraries

Showing projects tagged as Machine Learning

  • Tesseract.js

    9.4 8.2 L3 JavaScript
    Pure Javascript OCR for more than 100 Languages ๐Ÿ“–๐ŸŽ‰๐Ÿ–ฅ
  • ConvNetJS

    8.4 0.0 L3 JavaScript
    Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
  • natural

    7.9 8.2 L5 JavaScript
    general natural language facilities for node
  • deeplearn.js

    7.8 0.0 TypeScript
    A hardware-accelerated machine intelligence library for the web.
  • Brain.js

    7.5 0.0 L5 JavaScript
    Simple feed-forward neural network in JavaScript
  • Synaptic.js

    7.0 0.0 L2 JavaScript
    architecture-free neural network library for node.js and the browser
  • Keras.js

    6.3 0.0 JavaScript
    Run Keras models in the browser, with GPU support using WebGL
  • neurojs

    6.0 0.0 JavaScript
    A JavaScript deep learning and reinforcement learning library.
  • m2cgen

    4.9 0.0 Python
    Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
  • ml.js

    4.9 4.7 JavaScript
    Machine learning tools in JavaScript
  • Propel

    4.7 0.0 TypeScript
    Differential Programming in JavaScript.
  • WebDNN

    4.4 0.0 TypeScript
    The Fastest DNN Running Framework on Web Browser
  • Mind.js

    3.9 0.0 L4 JavaScript
    A neural network library built in JavaScript
  • Limdu.js

    3.5 4.4 L4 JavaScript
    Machine-learning for Node.js
  • DN2A

    2.6 2.9 L5 TypeScript
    Dynamic Neural Networks Architect
  • Dannjs

    2.3 0.0 JavaScript
    Easy to use Deep Neural Network Library for JavaScript.
  • Synapses

    1.2 0.0 Elixir
    A group of neural-network libraries for functional and mainstream languages
  • di-libs

    0.2 6.8 JavaScript
    Libraries for computations. Can be used inside or outside mappy platform.
  • ml5.js

    -
    Friendly Machine Learning for the Web.
  • TensorFlow.js

    -
    A JavaScript library for training and deploying ML models in the browser and on Node.js.