239 datasets found

The repository contains files required to reproduce the results. The three compressed filed are (i) torch_code, (ii) datasets, and (iii) experiments. Detailed files description...

This data set contains the source code to reproduce the simulation and data-driven models for the publication Augmenting a pure and hybrid vertical me via data-driven...

This data repository contains the experiment data and code for the paper "Accelerating Spiking Neural Networks on CPUs via Cache-aware Splitting". The code.zip file contains...

Data-driven approaches used to predict thermophysical properties benefit from physical constraints because the extrapolation behavior can be improved and the amount of training...

The ML-TWiX dataset provides a globally gridded reconstruction of Total Water Storage Anomalies (TWSA) from January 1980 to December 2012. This dataset is designed to extend the...

This dataset contains the necessary code for using our soot (instance) segmentation model used for segmenting soot filaments from PIV (Mie scattering) images. In the...

This dataset contains all experimental data that is shown within the paper "Compensation of the Transmission Errors in Electrically Preloaded Rack-and-Pinion Drives". Large...

Data for the Publication Free-energy perturbation in the exchange-correlation space accelerated by machine learning: Application to silica polymorphs This data set contains:...

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....

This repository contains raw and post-processed replication data for the publication "Robustly optimal dynamics for active matter reservoir computing" (Gaimann and Klopotek,...

This dataset contains supplementary videos for the publication "Robustly optimal dynamics for active matter reservoir computing" (Gaimann and Klopotek, 2025) The videos show...

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:...

Scripts used in the experiments and analysis presented in the paper.

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...

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...

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. 4K Images from 3 Camera Perspectives including Annotation data for Reproduction of the Learning for the ML...

This dataset includes the code to reproduce the results from the paper titled "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous...

This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be...

This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. For further details, please...