A complete computer science study plan to become a software engineer.

An Open Source Machine Learning Framework for Everyone

🎓 Path to a free self-taught education in Computer Science!

Flutter makes it easy and fast to build beautiful apps for mobile and beyond

Stable Diffusion web UI

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Windows system utilities to maximize productivity

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

🦜🔗 Build context-aware reasoning applications

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

Collection of publicly available IPTV channels from all over the world

24 Lessons, 12 Weeks, Get Started as a Web Developer

Build smaller, faster, and more secure desktop applications with a web frontend.

A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A curated list of awesome Machine Learning frameworks, libraries and software.

Source code for Twitter's Recommendation Algorithm

Apache Superset is a Data Visualization and Data Exploration Platform

Tesseract Open Source OCR Engine (main repository)

scikit-learn: machine learning in Python

Examples and guides for using the OpenAI API

Easy to maintain open source documentation websites.

Inference code for Llama models

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

🦀 Small exercises to get you used to reading and writing Rust code!

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.

A simple zero-config tool to make locally trusted development certificates with any names you'd like.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.