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

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

Data and code behind the articles and graphics at FiveThirtyEight

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

The Udacity open source self-driving car project

An annotated implementation of the Transformer paper.

Data augmentation for NLP

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

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

Scenarios, tutorials and demos for Autonomous Driving

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Text and code for the second edition of Think Bayes, by Allen Downey.

🤖⚡ 50 scikit-learn tips

Localize your cat at home with BLE beacon, ESP32s, and Machine Learning

Ray tutorials from Anyscale

Udacity's Self-Driving Car Nanodegree project files and notes.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Anki decks for physics, astronomy, computer science, machine learning, and statistics.

🦅 Deep Learning awesome cheatsheet

A Symbolic Regression engine

Workshop materials for ODSC 2019 Interpretability Talk

List and description of the courses I took @ Mila