[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

CLI to manage emails

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

Competitive Programmer's Handbook

Open-source vector similarity search for Postgres

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

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

Database with posteriors of interest for Bayesian inference

Streamlit EDA Dashboard Powered by AWS Cloud

Bayesian Conjugate Models in Python

An introduction to ARM64 assembly on Apple Silicon Macs

Hydra is a framework for elegantly configuring complex applications

Stable Diffusion with Core ML on Apple Silicon

The official Python client library for the Polygon REST and WebSocket API.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate this model's performance on pathology-classification tasks.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

A collection of learning resources for curious software engineers

Explanation to key concepts in ML

Inference code for Llama models

R user guide to Databricks

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

A curated list of practical financial machine learning tools and applications.

Press the 'f' and 'd' keys randomly. It's easy. Just use your "free will."

Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Rethinking'. Relies on pymc

The release of the Twitter algorithm, annotated for recsys