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ai

Game of connecting four tiles where the opposite player is the computer.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

best_ai_papers_2022

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

bioml

blender_plus_python_tutorial

A tutorial series about creating art with Blender Python scripts

bo_talks

Repository of my talks

data-science-interview-questions-answers

Curated list of data science interview questions and answers

deepmind-advanced-deep-learning-and-reinforcement-learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

differentiable-sdf-rendering

Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)

dikunotes

A collection of information, notes and resources about courses given at the institute of computer science (DIKU) at University of Copenhagen.

discrete-mathematics-and-algorithms

Discrete mathematics is the study of discontinuous quantities, and associated algorithms.

discrete-mathematics-books

"Mathematics is less related to accounting than it is to philosophy." - Leonard Adleman

dm-i-ai-2022

DM i AI 2022

dm-i-ai-2023

Danish National Championship in AI

dotfiles

My awesomewm dotfiles for awesome people! ✨

explicit_disentanglement_molecules

flip

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

gnns-recipe

A recipe to study Graph Neural Networks (GNNs)

gp_cpab

graph-neural-networks-roadmap

hebo

Bayesian optimisation library developped by Huawei Noah's Ark Library

howto

How do I DIKU? How indeed.

intro_dgm

An Introduction to Deep Generative Modeling: Examples

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

ku_pml_course

lang_linear_algebra

learning-from-data-a-short-course

Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin

learning-from-data-solutions

Repository of my solutions to the problems of "Learning from Data"

lightning-thunder

Make PyTorch models Lightning fast! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once.

machine-learning-and-simulation

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)