Showing 1-20 of 6,590 packages
Neural networks in JavaScript
feedforward neural networks library
A toy library for building simple neural networks which can be serialized to compact JSON.
Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser
Deep Learning library. Supports Convolutional (and ordinary) Neural Networks
Stream processing framework for creating distributed data pipelines and autonomic neural networks
Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.
Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,
Handtrackjs: A library for prototyping realtime hand tracking using neural networks (tensorflowjs)
Neural Networks & Deep Learning in JavaScript
A modular system for neural networks.
A [Swarm Intelligence](https://en.wikipedia.org/wiki/Swarm_intelligence) framework for creating distributed data pipelines and [autonomic](https://en.wikipedia.org/wiki/Autonomic_Computing) neural networks.
Free edge-based AI swarms in the browser - P2P, crypto, vector search, neural networks. Install @ruvector/edge-full for graph DB, SQL, ONNX embeddings.
ConvNetJS is a Javascript implementation of Neural networks.
Master-Neat is a powerful library designed to facilitate the creation and management of neural networks. It provides a comprehensive set of tools and utilities for developers looking to implement advanced neural network architectures.
This node provides neural networks using brain.js
This package encompasses machine learning models, such as the Convolutional Neural Networks (CNN) model used for text recognition, empowering various foundational products under DCV architecture.
Neuromorphic computing with Spiking Neural Networks, STDP learning, and reservoir computing for ultra-low-power ML
A production-ready AI framework for Decision Tree services, supporting Deep Learning, Neural Networks, and Model Deployment.
Node-RED Nodes for creating Artificial Neural Networks (ANNs) using Node-Red.