GPU accelerated neural networks made simple for Javascript

A small multilayer perceptron library for educational purposes

Logit function.

OpenClaw plugin implementing the A2A (Agent-to-Agent) v0.3.0 protocol — bio-inspired routing, discovery, and resilience for multi-agent ecosystems

A simple library for implementing 3 layer neural networks

Shared types and constants for FrameFind packages

fuzzy logic with and for typescript and javascript

Lightweight TypeScript neural network library with back-propagation and genetic algorithms, supporting a wide range of activation functions, all without extra build or native dependencies.

Tiny library that provides timers, envelopes, and random generators

Node-API bindings for MLX

Svelte 5 molecular biology component library — pure rendering components for scientific visualizations

Machine Learning library in JavaScript

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.

gated Laplace diffusion kernel — O(ctx·d) recurrence, per-channel decay + gate

A simple artificial neural network

Zero-dependency, tree-shakeable TypeScript implementation of common neural-network activation functions

Logit function for a single-precision floating-point number.

A simple script of nueral network.

CLI-first Terraform/HCL parser with JSON/YAML output, dependency graph export, and per-file metadata for IaC tooling.

A complete deep learning library for JavaScript — Dense, CNN, RNN/LSTM/GRU, Attention, GPU acceleration, and ESP32 deployment. By CavyIoT.