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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- AnalyzingInfluenceTrainingSamplesExplanations Public Forked from andreArtelt/AnalyzingInfluenceTrainingSamplesExplanations
"Analyzing the Influence of Training Samples on Explanations" by André Artelt et al.
HammerLabML/AnalyzingInfluenceTrainingSamplesExplanations’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 - iXAI Public Forked from mmschlk/iXAI
Fast and incremental explanations for online machine learning models. Works best with the river framework.
HammerLabML/iXAI’s past year of commit activity - 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 - WaterBenchmarkHub Public Forked from WaterFutures/WaterBenchmarkHub
A collection of benchmark resources regarding Water Distribution Networks
HammerLabML/WaterBenchmarkHub’s past year of commit activity - SPIGNNs_for_WDSs Public Forked from inaamashraf/SPIGNNs_for_WDSs
Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems.
HammerLabML/SPIGNNs_for_WDSs’s past year of commit activity - physics_informed_gnns_for_wds Public Forked from inaamashraf/physics_informed_gnns_for_wds
Official code for the paper: Physics-Informed Graph Neural Networks for Water Distribution Systems
HammerLabML/physics_informed_gnns_for_wds’s past year of commit activity
