Stars
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, th…
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
Advanced TradingView MCP Server for AI-powered market analysis. Real-time crypto & stock screening, technical indicators, Bollinger Band intelligence, and candlestick patterns. Works with Claude D…
A free SEO tool MCP (Model Control Protocol) service based on Ahrefs data. Includes features such as backlinks, keyword ideas, and more.
An MCP server to interface with Finnhub API.
Janus-Series: Unified Multimodal Understanding and Generation Models
Zipline, a Pythonic Algorithmic Trading Library
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A nimble options backtesting library for Python
Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Sc…
Trade autonomously on Polymarket using AI Agents
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Perplexica is an AI-powered answering engine. It is an Open source alternative to Perplexity AI
Algorithms for outlier, adversarial and drift detection
Algorithms for explaining machine learning models
moDel Agnostic Language for Exploration and eXplanation
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Model interpretability and understanding for PyTorch
Lime: Explaining the predictions of any machine learning classifier
A python library for user-friendly forecasting and anomaly detection on time series.
A unified framework for machine learning with time series
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…