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Code for statesim - a python package to simulate dynamical systems from ordin...
Python package for simulating ordinary differential equations in state space form. See README.md for details. -
Coupled mass-spring-damper system for nonlinear system identification - actua...
Overview <p>This dataset contains input-output data of a coupled mass-spring-damper system with a nonlinear force profile. The data was generated with... -
Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks
This repository complements the identically titled paper submitted to WAMTA 2025 and allows to reproduce the published results. For a more description please consider the... -
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.... -
OncoTUM models
OncoTUM models <p> This repository hosts pretrained neural network models for <a href="https://github.com/masud-src/OncoTUM" target="_blank">OncoTUM</a>,... -
Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking...
Integrating multiple (sub-)systems is essential to create advanced Information Systems (ISs). Difficulties mainly arise when integrating dynamic environments across the IS... -
Python implementation of data-based estimation of critical time steps for exp...
This is a demo for the manuscript 'Data-based estimation of critical time steps for explicit time integration' that demonstrates data-driven approaches for 2D-element time step... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", specifically, the NeurIPS version which is also... -
Models and Prepared Datasets for 3D-CNN - First Stage
Models trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models. Based on raw... -
Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points
These data sets serve as training data for modelling the temperature field emanating from a groundwater heat pump. They are simulated with Pflotran and saved in h5 format. They... -
Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions
Raw datasets for modeling orientational variation in heat plume prediction in groundwater. Used with 1HP NN equivariance. File name explanation: 4d The dataset encompasses... -
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with vary...
Prepared datasets and models for modeling orientational variation in heat plume prediction in groundwater. Models were trained with 1HP NN equivariance. File name explanation:... -
Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps
Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file... -
Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLS...
The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset... -
Replication Data for: Compositio Prompto: An Architecture to Employ Large Lan...
A classic, central Service-Oriented Computing (SOC) challenge is the service composition problem. It concerns solving a user-defined task by selecting a suitable set of... -
Datasets: 6 Heat Pumps, Simulation - Raw + Prepared
This dataset serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (six heat pumps, randomly placed). It is... -
Models and Prepared Datasets for LG-CNN
Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format, reduced set of in/outputs, 2D, normalization used to train... -
Knowledge Graph Generator
Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge... -
eSPARQL Implementation
This project contains the code of an implementation of the eSPARQL language, which extends SPARQL-star with a `FROM BELIEF` that allows an easy formulation of epistemic queries.... -
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...
