Autoencoder

Production-grade deep learning autoencoder for keystroke dynamics authentication

Create a GPU-accelerated autoencoder network

Library to build and run auto-encoder neural network powered by genetic algorithm or GPU.

TypeScript & JavaScript machine learning library

Node to Train AI Networks

Run Keras models in the browser, with GPU support using WebGL

A simple Auto Encoder typescript library for experimentation and dimensionality reduction. Supports automatic scaling.

This small library has no dependencies and adds interfaces and classes that you can use to encode and decode your own classes to a JSON compatible structure. This enables you to build powerful API's and storage that can automigrate to newer versions on th

model image client decoder

model image client decoder

ConvNetJS is a Javascript implementation of Neural networks.

ConvNetJs -- Version 2

Run Keras models in the browser, with GPU support using WebGL

AI-powered workflow optimization using TensorFlow.js and YAWL patterns

Dimensionality reduction methods

TypeScript SDK for MachinaFi — Autonomous AI Agents on Base L2

A node.js library for locally synthesizing text to speech using VITS

Predictive systems with ML-based anomaly detection, maintenance, forecasting, and risk assessment

Simple to use neural network implementation in pure TypeScript with GPU support.