Showing 1-19 of 19 packages
Autoencoder
Production-grade deep learning autoencoder for keystroke dynamics authentication
Create a GPU-accelerated autoencoder network
Run Keras models in the browser, with GPU support using WebGL
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
A simple Auto Encoder typescript library for experimentation and dimensionality reduction. Supports automatic scaling.
ConvNetJS is a Javascript implementation of Neural networks.
Library to build and run auto-encoder neural network powered by genetic algorithm or GPU.
Node to Train AI Networks
model image client decoder
Run Keras models in the browser, with GPU support using WebGL
ConvNetJs -- Version 2
A node.js library for locally synthesizing text to speech using VITS
Dimensionality reduction methods
Predictive systems with ML-based anomaly detection, maintenance, forecasting, and risk assessment
Simple to use neural network implementation in pure TypeScript with GPU support.
Extract features | Compress data | Deep network variants
Extract features | Compress data | Deep network variants