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 😃
Hammer Lab for Machine Learning
Machine Learning Group led by Prof. Barbara Hammer at Bielefeld University
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Showing 10 of 62 repositories
- EPyT-Flow Public Forked from WaterFutures/EPyT-Flow
A high-level interface designed for the easy generation of hydraulic and water quality scenario data.
HammerLabML/EPyT-Flow’s past year of commit activity - EPyT-Control Public Forked from WaterFutures/EPyT-Control
A Python package for implementing and evaluating control algorithms & strategies in smart water networks.
HammerLabML/EPyT-Control’s past year of commit activity - RL4Water_CCWI2025 Public
HammerLabML/RL4Water_CCWI2025’s past year of commit activity - RBC-Gym Public
HammerLabML/RBC-Gym’s past year of commit activity - RBC-Control-SARL Public
Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime
HammerLabML/RBC-Control-SARL’s past year of commit activity - geoconv Public Forked from andreasMazur/geoconv
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.
HammerLabML/geoconv’s past year of commit activity - WaterBenchmarkHub Public Forked from WaterFutures/WaterBenchmarkHub
A collection of benchmark resources regarding Water Distribution Networks
HammerLabML/WaterBenchmarkHub’s past year of commit activity - go_with_the_flow Public Forked from inaamashraf/go_with_the_flow
Go with the Flow: Leveraging Physics-Informed Gradents to Solve Real-World Problems in Water Distribution Systems.
HammerLabML/go_with_the_flow’s past year of commit activity
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