We are the Machine Learning Group led by Prof. Barbara Hammer at Bielefeld University.
On this page you can find the accompanying source code of our publications 😃
We are the Machine Learning Group led by Prof. Barbara Hammer at Bielefeld University.
On this page you can find the accompanying source code of our publications 😃
Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime
This repository contains the implementation of the experiments from the paper "Neural Surrogate Model in an Extended Kalman Filter for Chlorine Concentration State Estimation in Water Distribution Systems" @ SysTol 2025 by André Artelt, Janine Strotherm, Luca Hermes, Barbara Hammer
A high-level interface designed for the easy generation of hydraulic and water quality scenario data.
A Python package for implementing and evaluating control algorithms & strategies in smart water networks.
A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.
A collection of benchmark resources regarding Water Distribution Networks
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