Stars
Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Comprehensive collection of 133+ specialized AI subagents for Claude Code covering the entire software development lifecycle
APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based c…
Jupyter notebooks for the pyextremes library
Claude Code for academics — skills, agents, and setup guides
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
DaC is a dashboard-as-code tool. Build interactive dashboards using YAML and JSX. Built-in semantic layer. Get your agents to build standardized, reviewable dashboards.
Autonomous coding agent as an SDK, IDE extension, or CLI assistant.
Skills for Real Engineers. Straight from my .agents directory.
MCP Toolbox for Databases is an open source MCP server for databases.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Duckdb-based MCP server for datasets
Complete football/soccer datalake with 93000+ players from Transfermarkt. Includes player profiles, performance statistics, market values, transfer histories, injury records, national team data, an…
JAX-accelerated time-series forecasting library. Fast, scalable, and NumPy-compatible.
One command. Your entire AI skill stack. Installed.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing…
AI agents running research on single-GPU nanochat training automatically
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Get your documents ready for gen AI
Visualize and share your data. All in SQL. Powered by DuckDB.
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
A collection of sample apps and recipes built with the TinyFish web agent. Open-source examples for you to learn & build!
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.