neat_ts
Typescript implementation of NEAT - Neuroevolution of Augmenting Topologies
Typescript implementation of NEAT - Neuroevolution of Augmenting Topologies
Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API.
Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.
Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API.
Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.
Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API.
An open source tensor processing library made for maximum extensibility and compatibility.
Updated: October 12, 2024
A javascript library for neural networks
NeuralGraph is an AI training data visualization tool that helps analyze and interpret training data for neural networks. It provides visualizations of loss and accuracy trends over epochs, allowing users to gain insights into the training process and ass
Neuro.js for umd
NeuralWorks is a lightweight, modular Typescript library for building and deploying neural networks and machine learning models directly in the browser. Designed for simplicity and flexibility, NeuralWorks empowers developers to create and train models wi
This is an ongoing project intended to make it easier to use neural network creation, genetic algorithms, and other data science and machine learning skills.
A javascript implementation of a neural network
A simplistic neural network library.
Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.
A simple machine learning module
A tiny neural network for natural language detection.
Asynchronous OpenCV 3.x / 4.x nodejs bindings with JavaScript and TypeScript API.
Experimental implementation of pytorch project for machine learning in typescript