Difference between revisions of "JavaScript"

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* [http://github.com/NeuroJS Neuro.js] [http://janhuenermann.com/projects/learning-to-drive Learning to Drive project] a deep learning and reinforcement learning Javascript library framework for the browser. Implementing a full stack neural-network based machine learning framework with extended reinforcement-learning support
 
* [http://github.com/NeuroJS Neuro.js] [http://janhuenermann.com/projects/learning-to-drive Learning to Drive project] a deep learning and reinforcement learning Javascript library framework for the browser. Implementing a full stack neural-network based machine learning framework with extended reinforcement-learning support
 
* [http://tenso.rs/ TensorFire] is a framework for running neural networks in the browser, accelerated by [http://get.webgl.org/ WebGL]
 
* [http://tenso.rs/ TensorFire] is a framework for running neural networks in the browser, accelerated by [http://get.webgl.org/ WebGL]
* [http://github.com/karpathy/convnetjs Conventjs] (not maintained)] neural networks supporting common modules, classification, [[Regression]], an experimental Reinforcement Learning module, able to train [[(Deep) Convolutional Neural Network (DCNN/CNN)]] that process images
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* [[ConvNetJS]] an NPM version is also available for those using [http://nodejs.org/en/ Node.js], and the library is designed to make proper use of Javascript’s asynchronicity with neural networks supporting common modules, classification, [[Regression]], an experimental Reinforcement Learning module, able to train [[(Deep) Convolutional Neural Network (DCNN/CNN)]] that process images
* [[ConvNetJS]] an NPM version is also available for those using [http://nodejs.org/en/ Node.js], and the library is designed to make proper use of Javascript’s asynchronicity.
 
 
* [http://github.com/mljs/ml mljs] includes supervised and unsupervised learning, artificial neural networks, [[Regression]] algorithms and supporting libraries for [[Statistics for Intelligence | statistics, math etc.]]
 
* [http://github.com/mljs/ml mljs] includes supervised and unsupervised learning, artificial neural networks, [[Regression]] algorithms and supporting libraries for [[Statistics for Intelligence | statistics, math etc.]]
 
* [http://github.com/cazala/synaptic Synaptic] multilayer perceptrons, multilayer long-short term memory networks, liquid state machines and a trainer capable of training a verity of networks
 
* [http://github.com/cazala/synaptic Synaptic] multilayer perceptrons, multilayer long-short term memory networks, liquid state machines and a trainer capable of training a verity of networks

Revision as of 20:22, 20 August 2020

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A sampling of available Javascript Machine Learning libraries

Graphics / Visualization

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Demos

Node.js

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React

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