JavaScript

Youtube search...

• TensorFlow.js for training and deploying ML models in the browser and on Node.js (was called Deeplearnjs)
• TensorFlow Playground written in Javascript (TypeScript) using d3.js

• 10 Javascript IoT Libraries To Use In Your Next Project | Jonathan Saring
• A sampling of available Javascript Machine Learning libraries:
• Keras.js runs Keras models in the browser, with GPU support using WebGL. since Keras uses a number of frameworks as backends, the models can be trained in TensorFlow, CNTK, and other frameworks as well.
• Neuro.js 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
• Conventjs (not maintained)] neural networks supporting common modules, classification, regression, an experimental Reinforcement Learning module, able to train convolutional networks that process images
• mxnet.js deep learning in browser (without server); allows you to mix symbolic and imperative programming on the fly with a graph optimization layer for performance
• brain.js several types of networks
• mljs includes supervised and unsupervised learning, artificial neural networks, regression algorithms and supporting libraries for statistics, math etc.
• Synaptic multilayer perceptrons, multilayer long-short term memory networks, liquid state machines and a trainer capable of training a verity of networks
• Webdnn this framework optimizes the DNN model to compress the model data and accelerate execution through JavaScript APIs such as WebAssembly and WebGPU
• Neataptic neuro-evolution & backpropagation for the browser
• Compromise modest natural-language processing (NLP) interprets and pre-parses English and makes some reasonable decisions
• Mind make predictions, using a matrix implementation to process training data and enabling configurable network topology.
• Natural provides tokenizing, stemming (reducing a word to a not-necessarily morphological root), classification, phonetics, tf-idf, WordNet, string similarity, and more.
• DeeForge a development environment for deep learning

________________________________

• Git - GitHub and GitLab
• Bit

Node.js

Youtube search...