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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,... -
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... -
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... -
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... -
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... -
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?... -
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... -
Supplementary Material | An Empirical Comparison of Machine Learning Methods ...
Here you can find the supplementary material to the paper “An Empirical Comparison of Machine Learning Methods for Thermal Load Forecasting in Industrial Production Systems”:... -
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...
