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aimotion-crazypack

Our code for extending the functionalities of Crazyswarm

alpaca

Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone

botorch

Bayesian optimization in PyTorch

brunzema.github.io

constrained_gps

Reimplementation of linear inequality constraints following Agrell (2019) using GPyTorch.

dadaptation

D-Adaptation for SGD, Adam and AdaGrad

dust

This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.

etso

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

gibo

This repository contains the code for the paper "Local policy search with Bayesian optimization".

interpretable-test

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

joypy

Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:

learning-and-forgetting-in-tvbo

Latex source code of my master thesis

local-bo-mpd

Bayesian optimization via maximizing probability of descent

mbrl-lib

Library for Model Based RL

moca

mooc_test

quick-sudoku-solver

Just a very simple sudoku solver, which animates the process of solving it.

thesis-template

Latex template for Bachelor's / Master's theses

trajax

truncated-mvn-sampler

Reimplementation using Python of the minimax tilting algorithm by Botev (2016) for simulation and iid sampling of the truncated multivariate normal distribution.

uitvbo

This repository contains the code for the paper "On Controller-Tuning with Time-Varying Optimization" (Accepted at the 61st IEEE Conference for Decision and Control).

variational-beam-search

Code repository of NeurIPS 2021 paper: Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning.