@tensorflow/tfjs-react-native
TensorFlow.js platform implementation for React Native
TensorFlow.js platform implementation for React Native
Node.js module for using TensorFlow graphs and models
Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.
DN2A - Digital Neural Networks Architecture
GPU-accelerated Deep Recurrent Neural Networks and LSTMs in Typescript. Ported, object-oriented and refactored version of Andrej Karpathy's recurrent-js (https://github.com/karpathy/recurrentjs)
A minimal library for Deep learning for the web
Liquid Carrot's Node.js API Client
TensorFlow.js platform implementation for React Native
NodeJS module using brain.js to tell you if your font should be light or dark
A library for nodejs and vanilla javascript connection to a brian server
Evolutionary Neural Network library
A minimal library for Deep learning for the web
<a href="https://github.com/explainableaixai/websitecategorizationapi/issues"><img alt="GitHub issues" src="https://img.shields.io/github/issues/explainableaixai/websitecategorizationapi"></a>
AuraClassify is a powerful content moderation and classification system built on TensorFlow.js, utilizing the Universal Sentence Encoder for text analysis.
TensorFlow.js platform implementation for React Native
This is an experimentation with evolutionary computing applied to neural networks using TensorFlow.js
A set of basic performance metrics for TensorFlow.js in Angular. Those metrics are used to validate your model after training. It was created to be used together with TensorFlow.js
Tensor computation and autograd with WebGPU acceleration
URL database with 90+ million categorized domains, using machine learning.
A JavaScript implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm for evolving artificial neural networks.