-
Data underpinning "Zero-shot ML Equalization in Coherent Optical Transmission...
All data files are *.txt files in a space-delimited format. The first row are the column titles, and subsequent rows are data. fig5_loss_curve.txt: Data for Figure 5 describing... -
Test data for MALA
This repository contains data to test, develop and debug MALA and MALA based runscripts. If you plan to do machine-learning tests ("Does this network implementation work?... -
Replication Data for: Robustly optimal dynamics for active matter reservoir c...
This repository contains raw and post-processed replication data for the publication "Robustly optimal dynamics for active matter reservoir computing" (Gaimann and Klopotek,... -
Supplementary Videos for: Robustly optimal dynamics for active matter reservo...
This dataset contains supplementary videos for the publication "Robustly optimal dynamics for active matter reservoir computing" (Gaimann and Klopotek, 2025) The videos show... -
Supplementary Material | Continual learning for very short-term load forecast...
Here you can find the supplementary material to the paper "Continual learning for very short-term load forecasting: A Case Study on parts cleaning". Experiments were carried out... -
Part series dataset of milling processes for time series prediction
Ziel des Datensatzes ist das Training und die Validierung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse. Dazu wurden an einer DMC 60H Prozesse mit einer Abtastrate... -
Parking2PV Hesse
This dataset provides a geospatial classification of large parking lots (greater than 900 m²) in the federal state of Hesse, Germany, evaluating their suitability for... -
Data for: Ab initio machine-learning unveils strong anharmonicity in non-Arrh...
The dataset contains key files to reproduce the results presented in the article " Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of... -
Code for Ultrahyperbolic Knowledge Graph Embeddings
This is a Pytorch implementation of the paper Ultrahyperbolic Knowledge Graph Embeddings published in KDD 2022. This code is used to reproduce the experiments of the method... -
Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs
This is a Pytorch implementation of the paper Shrinking Embeddings for Hyper-relational Knowledge Graphs published in ACL'23. This code is used to reproduce the experiments of... -
Replication Data for NestE: Modeling Nested Relational Structures for Knowled...
This code is a PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24)". NestE is a knowledge graph embedding... -
Data for: Electronic Moment Tensor Potentials include both electronic and vib...
Data for "Srinivasan, P., Demuriya, D., Grabowski, B. et al. Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom. npj Comput Mater 10,... -
Replication Data for: Constraint-aware neural networks for Riemann problems
Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an... -
Code for using and training spray segmentation models
This dataset contains the necessary code for using our spray segmentation model used in the paper, ML-based semantic segmentation for quantitative spray atomization description.... -
Data related to Panzer: A Machine Learning Based Approach to Analyze Supersec...
This entry contains the data used to implement the bachelor thesis. It was investigated how embeddings can be used to analyze supersecondary structures. Abstract of the thesis:... -
Data for: Atomistic modeling of bulk and grain boundary diffusion in solid el...
The data in this repository support the findings presented in the article "Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using... -
Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Re...
Scripts used in the experiments and analysis presented in the paper. -
Floor Type Detection Dataset
Dataset for Floor Type Detection of the Robot Dog Unitree Go1 Edu. Details can be found in the seperate report. !!Privacy Statement!! This dataset is made available for... -
Code for Pseudo-Riemannian Graph Convolutional Networks
This dataset is the official implementation of Pseudo-Riemannian Graph Convolutional Networks in PyTorch, based on HGCN implementation. This code is used to reproduce the... -
Replication Data for: SCAP 2024 Robotic Wiring Harness Bin Picking
Replication Data for: SCAP 2024 Robotic Wiring Harness Bin Picking. 4K Images from 3 Camera Perspectives including Annotation data for Reproduction of the Learning for the ML...