Python

A comprehensive repository of 100+ Jupyter Notebooks covering linear algebra topics, including matrix decompositions, Gaussian elimination, eigenvalues, SVD, and interactive Python/Julia examples for teaching and learning.

Check out our YouTube channel https://www.youtube.com/playlist?list=PLBDUlnmEqyXD_llq6wETUqRkJGRiu8wFU for tutorials and walkthroughs of these notebooks.

aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.

Pyxel is a general detector simulation framework (https://esa.gitlab.io/pyxel). An easy-to-use framework that can simulate a variety of imaging detector effects combined on images (e.g. radiation and optical effects, noises) made by CCD or CMOS-based detectors.

Offisiell gitlabside for faget ING1509 - Python og nettverkssikkerhet vår 2026 med oppgaver og tilhørende løsningsforslag. Siden inneholder også nyttige ressurser og andre godsaker for en cybersikkerhetsentusiast.

Benchmarking open source hydrological model Shyft: https://gitlab.com/shyft-os/shyft. This repo contains helper scripts for simulation setup, results analysis and preparation of figures for publication: O.Silantyeva and S.Huang “Benchmarking Shyft hydrologic model performance of streamflow simulations in mainland Norway"

FELiCS - The linear flow solver.

Developed at the Institute for Fluid Dynamics and Technical Acoustics at TU Berlin, FELiCS is an open-source simulation code designed for researchers and engineers tackling complex flow problems. Its finite element discretisation of the linearised flow governing equations enables accurate modeling of intricate geometries and diverse physical scenarios — from combustion dynamics to aerodynamic instabilities and water turbine flows and many more.

Versatile. Open. Research-Driven

FELiCS breaks away from the limitations of traditional linear finite-difference solvers, offering a modular, general-purpose tool trusted in over 30 scientific publications.

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

The Open Energy Tracker is an open data platform for monitoring and visualizing energy policy targets.

Measurement scripts for SQUAD Lab

SmartPy

Smart Contracts on Tezos

A comprehensive solution for developing, testing, and deploying smart contracts on the Tezos blockchain. All in familiar Python syntax.

A python tool box for GPUMD simulations

“Schnittstelle zur Wahldatenbereitstellung”: An API and a UI to access data about elections concerning the Verfasste Studierendenschaft of the Universität Heidelberg. Contributions welcome!

This repository contains all Python scripts and notebooks used to generate the figures presented in my PhD thesis manuscript. The code is organized by thesis chapter, allowing for reproducible analyses and clear tracking of the computational workflow. This project serves as a reference for the methods implemented and the data visualizations included in the thesis.

Objectives of the Study The primary objectives of this study are: • To explore the characteristics of students who drop out • To identify academic, social, and economic factors associated with dropout • Comparing dropout and non-dropout students based on key variables • To provide insights that can help institutions reduce dropout rates

This is just a portfolio project repository. I want to show recruiters and my hopefully next coworkers something I am working on. That's why I used an ECS as architecture. Right now, the base algorithm should work correctly. In the future, I plan to add demos, examples, wrapper and so on.

This is a mirror of the aioCoAP source code. For issue tracking, see its github project; CI at codeberg.

The EDA (exploratory data analysis) repository consist of all the EDA related projects based on the real world datasets.