Python Data Science Handbook: full text in Jupyter Notebooks

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

Modern Computer Vision with PyTorch, published by Packt

Pilot course for Robotics 101: Computational Linear Algebra

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

MIT IAP short course: Matrix Calculus for Machine Learning and Beyond

The Generative Landscape - a course on generative modelling (currently unfinished). Join our Discord: https://discord.gg/vSjhr8xb4g

A simple tutorial of Diffusion Probabilistic Models

This repository contains the slides of the FAU lecture Pattern Recognition