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Class materials for a distributed systems lecture series
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
A unified, comprehensive and efficient recommendation library
Archived — ML Intern is no longer maintained. Continue with HuggingChat.
A ~9M parameter LLM that talks like a small fish.
Because `model.fit()` isn't an explanation
Claude Code plugin for distributed system design — structured frameworks for architecture review and interview prep
AI agents running research on single-GPU nanochat training automatically
A complete GPT language model (training and inference) in ~600 lines of pure C#, zero dependencies
Master the command line, in one page
Source code for Mozilla.ai's Lumigator platform
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
PDFs and Codelabs for the Efficient Deep Learning book.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 1…
Real-time webcam demo with SmolVLM and llama.cpp server
FastAPI Best Practices and Conventions we used at our startup
Things you can do with the token embeddings of an LLM
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
Bare metal to production ready in mins; your own fly server on your VPS.
Machine Learning Engineering Open Book
Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
A collection of learning resources for curious software engineers
This is a repo with links to everything you'd ever want to learn about data engineering