This library is a compilation of the machine learning tools developed in the mljs organization.
Neataptic offers flexible neural networks; neurons and synapses can be removed with a single line of code. No fixed architecture is required for neural networks to function at all. This flexibility allows networks to be shaped for your dataset through neuro-evolution, which is done using multiple threads.
Brain.js is super simple to use. You do not need to know Neural Networks in details to work with this. Brain.js is super simple to use. You do not need to know Neural Networks in details to work with this.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
Neuro.js is machine learning framework for building AI assistants and chat-bots.
The Keras.js demos still work but is no longer updated. Used to run Keras models in the browser, with GPU support using WebGL.
DeepForge is a development environment for deep learning designed for simplicity, collaboration and reproducibility of experiments
Fastest DNN Execution Framework on Web Browser
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