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This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.
🧮 A collection of resources to learn mathematics for machine learning
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A collection of sample agents built with Agent Development (ADK)
Collection of Summer 2025 tech internships!
Simple MPI implementation for prototyping or learning
A simple task management system for managing AI dev in Cursor
Efficient and easy multi-instance LLM serving
https://huyenchip.com/ml-interviews-book/
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Pocket Flow: Codebase to Tutorial
Investigating the reasoning abilities of multimodal LLMs using rebus puzzles
This repository contains an exhaustive coverage of a hands on approach to PyTorch along side powerful tools to accelerate model tuning and training
A high-throughput and memory-efficient inference and serving engine for LLMs
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Measuring Massive Multitask Language Understanding | ICLR 2021
Examples and guides for using the Gemini API
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.