Stuttgart Center for Simulation Science (SC SimTech)

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License: MIT License

1 to 10 of 366 Results

Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories Mar 27, 2024 - Publication Tools Roy, Sarbani; Wang, Fangfang; Gläser, Dennis, 2024, "Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories", https://doi.org/10.18419/darus-3785, DaRUS, V1 Harvester-Curator is a tool, designed to elevate metadata provision in data repositories. In the first phase, Harvester-Curator acts as a scanner, navigating through user code and/or data repositories to identify suitable parsers for different file types. It collects metadata fro...
harvester-curator.tar.gz Mar 27, 2024 - Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories Gzip Archive - 100.3 MB - MD5: dcb76595e76952f151b611808b1c14ea Source code for harvester-curator tool
README.md Mar 27, 2024 - Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories Markdown Text - 11.0 KB - MD5: 09aba0eb7d829de7e225ad477a5d9109
Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Mar 14, 2024 - PN 2-7 Reiser, Philipp; Aguilar, Javier Enrique; Guthke, Anneli; Bürkner, Paul-Christian, 2024, "Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference", https://doi.org/10.18419/darus-4093, DaRUS, V1 This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. For further details, please refer to the README.md.
analytic_model.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 12.2 KB - MD5: 5a5b05bfd7f5325a59640df493b1b879
eval_logistic_sigma_a.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 4.4 KB - MD5: 453bcad1a7681fbc5dc19107d331ae02
eval_sbc_logistic_helpers.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 3.1 KB - MD5: ae9772754376d5235a8dc6767ebf9990
eval_sbc_logistic.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 6.8 KB - MD5: 85ec9aca05f165773c0e69e5e5adc6ff
fit_2-step.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 4.2 KB - MD5: 8d343902c87ad980310aa6709c298096
get_data.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 7.9 KB - MD5: 3a3b9cc5004bb9434643d1095dfda186

Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories

Mar 27, 2024 - Publication Tools

Roy, Sarbani; Wang, Fangfang; Gläser, Dennis, 2024, "Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories", https://doi.org/10.18419/darus-3785, DaRUS, V1

Harvester-Curator is a tool, designed to elevate metadata provision in data repositories. In the first phase, Harvester-Curator acts as a scanner, navigating through user code and/or data repositories to identify suitable parsers for different file types. It collects metadata fro...

harvester-curator.tar.gz

Mar 27, 2024 - Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories

Gzip Archive - 100.3 MB -

Source code for harvester-curator tool

README.md

Mar 27, 2024 - Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories

Markdown Text - 11.0 KB -

Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Mar 14, 2024 - PN 2-7

Reiser, Philipp; Aguilar, Javier Enrique; Guthke, Anneli; Bürkner, Paul-Christian, 2024, "Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference", https://doi.org/10.18419/darus-4093, DaRUS, V1

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

analytic_model.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 12.2 KB -

eval_logistic_sigma_a.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 4.4 KB -

eval_sbc_logistic_helpers.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 3.1 KB -

eval_sbc_logistic.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 6.8 KB -

fit_2-step.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 4.2 KB -

get_data.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 7.9 KB -

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