Paul Brunzema (brunzema)

brunzema

Geek Repo

Company:RWTH Aachen University

Location:Aachen, Germany

Home Page:brunzema.github.io

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Organizations
Data-Science-in-Mechanical-Engineering

Paul Brunzema's repositories

botorch

Bayesian optimization in PyTorch

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joypy

Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:

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constrained_gps

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

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dadaptation

D-Adaptation for SGD, Adam and AdaGrad

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gibo

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

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mbrl-lib

Library for Model Based RL

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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).

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ALPaCA

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

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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.

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local-bo-mpd

Bayesian optimization via maximizing probability of descent

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learning-and-forgetting-in-TVBO

Latex source code of my master thesis

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variational-beam-search

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

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aimotion-crazypack

Our code for extending the functionalities of Crazyswarm

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dust

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

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quick-sudoku-solver

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

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Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

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thesis-template

Latex template for Bachelor's / Master's theses

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interpretable-test

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

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