Stars
Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.
Hundreds of models & providers. One command to find what runs on your hardware.
Turn (almost) any Python command line program into a full GUI application with one line
Neural Networks: Zero to Hero
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
12 Lessons to Get Started Building AI Agents
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaβ¦
π Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Your own personal AI assistant. Any OS. Any Platform. The lobster way. π¦
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
"The mother of all demo apps" β Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
Minimalistic Homebrew GUI made with Go, Wails and React.
Blazingly fast cognitive complexity analysis for Python, written in Rust.
Ubuntu, Alpine, Arch, and Fedora based Webtop images, Linux in a web browser supporting popular desktop environments.
π¬ A fast, interactive web-based viewer for performance profiles.
TheBoringNotch: Not so boring notch That Rocks πΈπΆ
The free and open-source Download Manager written in pure Python
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Automatic architecture search and hyperparameter optimization for PyTorch
Lime: Explaining the predictions of any machine learning classifier
π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
A reactive notebook for Python β run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Network-wide ads & trackers blocking DNS server
Proxmox VE Helper-Scripts (Community Edition)