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02443-stochastic-simulation

DTU Course 02443: Stochastic Simulation, June 2017

atom-hipster

Gets you in the mood

campusnetdrop-commandline

Command line tool to synchronize course files from DTU campusnet

classifiers

A visual example showing the different classification models.

constrained-optimization

Problems in constrained optimization (Exam projects in course 02612 @ DTU Compute)

dtu-02901

DTU Course 02901 Advanced Topics in Machine Learning Aug 2020 exercises

gpjax

Gaussian processes in JAX.

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gr.jl

Plotting for Julia based on GR, a framework for visualisation applications

gyldendal

:page_facing_up: Advanced Machine Learning @ DTU Compute. Mapping of author created learning objectives to official common academic goals

pigs-aistats-tables

pommerman

:bomb: Bomberman deep reinforcement learning challenge in PyTorch

prot-bo-0

:pill: Guiding directed protein evolution with Bayesian Optimization - First Steps :pill:

protein-data

render_component

Rails 3 Version of render_component

spngp

:high_brightness: A Python implementation of a sum-product network with gaussian processes leafs model (SPNGP, arXiv:1809.04400) :page_with_curl:

stochman

Algorithms for computations on random manifolds made easier

transformers-example

:robot: A simple transformer implementation for generation and embeddings extraction :robot:

variational-proteins

:microscope: Variational Proteins starter pack for the Advanced Machine Learning course at DTU Compute (Spring 2021)

webgl-vsm-shadows

Variance Shadow Mapping in WebGL.