Björn Ludwig's repositories
docker_pyscipopt
Building a Docker image to run Python scripts written for PySCIPOpt 4.0.0 to solve optimization problems with SCIP. This work is heavily based on the preparations that were made by Aleksey Piskun in his repository [docker-scip](https://github.com/viktorsapozhok/docker-scip). We thank Aleksey for his thorough preparation.
pytorch_gum_uncertainty_propagation
This code base is intended to serve as a starting point for interested researchers or practitioners to extend or apply the uncertainty propagation portion of the author's Master's thesis " GUM-compliant neural-network robustness verification".
high-dimensional-probability
A mind map of the definitions, theorems, lemmas, propositions and references of the course "High-dimensional probability with applications in data science" of the Technische Universität zu Berlin in winter semester 2019-2020.
bezier-kollokation
Dies ist meine Bachelorarbeit und der im Zusammenhang damit entstandene Code zur Lösung einer singulär-gestörten Zweipunkt-Randwertaufgabe
BjoernLudwigPTB
My profile README.md
cookiecutter-pylibrary
Enhanced cookiecutter template for Python libraries.
data-science-from-scratch
code for Data Science From Scratch book
docker-library-docs
Documentation for Docker Official Images in docker-library
docker_nginx
This repository holds the configuration for a custom Nginx image for applications served solely over SSL including URL rewrites or as is.
dockerfiles
This is my customization of https://github.com/tvelocity/dockerfiles/tree/master/etherpad-lite taking PTB needs into account and automatically build and test the image on CirleCI.
intervaltimer
A command-line timer for interval training.
lp_nn_robustness_verification
This code base is intended to serve as a starting point for interested researchers or practitioners to extend or apply the robustness verification portion of the author's Master's thesis " GUM-compliant neural-network robustness verification".
mathematics
The idea behind this repository is to try out different sorts of algorithms, experiment with plotting some of the data and testing or simply executing the code in a meaningful way.
openproject-gitlab-integration
OpenProject module for integration with Gitlab
plotlyjs.jl-docs
Documentation for the Plotly Julia graphing library.
qmk_firmware
Open-source keyboard firmware for Atmel AVR and Arm USB families
review-heatmap
Anki add-on to help you keep track of your review activity
stochastic_of_machine_learning
A mind map of the definitions, theorems, lemmas, propositions and references of the course "Stochastic of machine learning" of the Technische Universität zu Berlin in winter semester 2020-2021.
time_tracker
Small utility to track time.
user.js
user.js -- Firefox configuration hardening
zema_emc_annotated
This codebase provides convenient access to the annotated data set of one electromechanical cylinder at ZeMA testbed.