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

计算机自学指南

Style guides for Google-originated open-source projects

🧠 Laws, Theories, Principles and Patterns for developers and technologists.

🐧 A list of awesome Linux softwares

Writing an OS in Rust

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

A collection of resources on modern C++

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A collection of resources and papers on Diffusion Models

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)

At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.

Awesome Web Development Resources.

Open source CSS framework for data visualization.

Style your webpage like Edward Tufte’s handouts.

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references und…

An up-to-date (unofficial) knowledge base for Go programming self learning

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

https://huyenchip.com/ml-interviews-book/

🌎 machine learning tutorials (mainly in Python3)

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

A minimalist design exploration

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

A curated list of awesome streaming video tools, frameworks, libraries, and learning resources.

Some video lessons on YouTube: This videos may help too: https://www.youtube.com/watch?v=9cCApTLb_Io&t=3s&ab_channel=WasheraAcademy

For deep RL and the future of AI.

My personal list of Neovim plugins

A listing of compiler, language and runtime teams for people looking for jobs in this area

Deprecated. See https://github.com/github/devrel/issues/2874#issuecomment-3483164290. Tips, Tricks, and Resources for running your hackathon.

This is the code for "Quantum Machine Learning" By Siraj Raval on Youtube