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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Repositories
Showing 10 of 52 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 - WaterBenchmarkHub Public Forked from WaterFutures/WaterBenchmarkHub
A collection of benchmark resources regarding Water Distribution Networks
HammerLabML/WaterBenchmarkHub’s past year of commit activity - tryoffdiff Public Forked from rizavelioglu/tryoffdiff
Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".
HammerLabML/tryoffdiff’s past year of commit activity - FairnessInWDSs_extended Public Forked from jstrotherm/FairnessInWDSs_extended
Fairness-enhancing machine learning methods in the domain of water distribution networks (extended version).
HammerLabML/FairnessInWDSs_extended’s past year of commit activity - 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 - ceml Public Forked from andreArtelt/ceml
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
HammerLabML/ceml’s past year of commit activity - fashionfail Public Forked from rizavelioglu/fashionfail
Official repository of "FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation".
HammerLabML/fashionfail’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
