Popular GitHub Repositories for Engineering Notes

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

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

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

? ChatGPT Desktop Application (Mac, Windows and Linux)

? Toolkit to help you get started with Spec-Driven Development

Learn how to design, develop, deploy and iterate on production-grade ML applications.

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search

? Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. ?YC W23

Turns Data and AI algorithms into production-ready web applications in no time.

Make interlinked notes in private (E2E encrypted), share parts of it to global network of topics with deep AI integration

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Machine Learning Engineering Open Book

A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

A curated list of references for MLOps