Master programming by recreating your favorite technologies from scratch.

😎 Awesome lists about all kinds of interesting topics

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

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Curated list of project-based tutorials

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

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

Stable Diffusion web UI

🦜🔗 The platform for reliable agents.

21 Lessons, Get Started Building with Generative AI

Robust Speech Recognition via Large-Scale Weak Supervision

LLM inference in C/C++

Python tool for converting files and office documents to Markdown.

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

real time face swap and one-click video deepfake with only a single image

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

A latent text-to-image diffusion model

List of Computer Science courses with video lectures.

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

🤯 LobeHub - an open-source, modern design AI Agent Workspace. Supports multiple AI providers (OpenAI / Claude 4 / Gemini / DeepSeek / Ollama / Qwen), Knowledge Base (file upload / RAG ), one click …

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A high-throughput and memory-efficient inference and serving engine for LLMs