A compilation of the best multi-agent papers

Backup automation for self-hosters. Built on top of restic

Feature packed AUR helper

The open source coding agent.

The ultimate training toolkit for finetuning diffusion models

AirPods liberated from Apple's ecosystem.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

You like pytorch? You like micrograd? You love tinygrad! ❤️

Deduplicating archiver with compression and authenticated encryption.

Find duplicate files

A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future …

A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visual…

An HTTP toolkit for security research.

Automatic architecture search and hyperparameter optimization for PyTorch

Automated Machine Learning with scikit-learn

Python library for Causal AI

Coz: Causal Profiling

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

Materials for following along with Hands-On Data Analysis with Pandas.

An open access book on scientific visualization using python and matplotlib

Interactive Data Visualization in the browser, from Python

Area-Proportional Euler and Venn Diagrams with Ellipses

📈 A small, fast chart for time series, lines, areas, ohlc & bars

♾ A Graph Visualization Framework in JavaScript.

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

The HTML5 Creation Engine: Create beautiful digital content with the fastest, most flexible 2D WebGL renderer.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

🍊 📊 💡 Orange: Interactive data analysis