21 Lessons, Get Started Building with Generative AI

12 Lessons to Get Started Building AI Agents

12 Weeks, 24 Lessons, AI for All!

This is a repo with links to everything you'd ever want to learn about data engineering

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai book, published as Jupyter Notebooks

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Lab Materials for MIT 6.S191: Introduction to Deep Learning

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

Tutorials for SimFin - Simple financial data for Python

Code for undergraduate thesis "Active Learning for Deep Object Detection".

The Flyte and Union documentation site