mario-learning is mario-learning.
A bare-bones port of Mario Klingemann's stackblur that just operates on a Uint8 pixel array.
TypeScript definitions for resolve
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
TypeScript definitions for jest
[](https://www.npmjs.com/package/react-image-zooom)
Generic build of Mozilla's PDF.js library.
Self-Optimizing Neural Architecture (SONA) - Runtime-adaptive learning with LoRA, EWC++, and ReasoningBank for LLM routers and AI systems. Sub-millisecond learning overhead, WASM and Node.js support.
Self-learning vector memory for AI agents — single-file .rvf cognitive container with HNSW search, episodic Reflexion memory, causal graph + Cypher, 9 RL algorithms, Thompson Sampling bandit, 41 MCP tools, hybrid (BM25 + dense) retrieval, GNN attention. 1
Codex CLI integration for Ruflo (claude-flow) - OpenAI Codex platform adapter
TensorFlow layers API in JavaScript
Fast and almost Gaussian blur by Mario Klingemann
AWS SDK for JavaScript Machine Learning Client for Node.js, Browser and React Native
tsParticles super mario bros palette
List of ML tasks for huggingface.co/tasks
Quantity parsing, formatting and conversions for iModel.js
Provides a smooth, zoomable user interface for HTML/Javascript.
A factory for kernel functions
a browser detector
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,
Build cross platform desktop apps with JavaScript, HTML, and CSS
Ultra-fast MicroLoRA adaptation for WASM - rank-2 LoRA with <100us latency for per-operator learning
Unofficial installer for Elm
Vue components base on Element-ui