various machine learning routines for node

A friendly machine learning library for the web.

Sigmoid (hyperbolic tangent) kernel

A Education First learning activity

Vertex AI client for Node.js

The library exposes two independently consumable components:

AI Manipulation Defense System (AIMDS) with self-learning, prompt injection detection, and vector search integration

This module lets you run python code inside node without spawning new processes

Self-learning LLM runtime — TurboQuant KV-cache (6-8x compression), SONA adaptive learning, FlashAttention, speculative decoding, GGUF inference

Daily learning schedules: Daf Yomi, Mishna Yomi, etc

API for learning app

V3 Hooks System - Event-driven lifecycle hooks with ReasoningBank learning integration

Fastest 5KB JS implementation of secp256k1 ECDH & ECDSA signatures compliant with RFC6979

Parquet file parser for JavaScript

Manage session history with JavaScript

Machine learning algorithms.

Self-Optimizing Neural Architecture (SONA) for Claude Flow — adaptive learning, trajectory tracking, pattern reuse, 7 RL algorithms (PPO/A2C/DQN/Q-Learning/SARSA/Decision Transformer/Curiosity), Flash Attention, MoE routing, LoRA, EWC++ for continual lear

Server runtime for Remix

A service for xAPI statements

Communicate over xAPI using JavaScript.