Stuttgart Center for Simulation Science (SC SimTech)

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19,821 to 19,830 of 19,923 Results

computation.py Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Python Source Code - 16.2 KB - MD5: 727ea9050972d03f12c6aa5b32b7e37c
data.tar.gz Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Gzip Archive - 5.6 GB - MD5: 220970917c2371206a808c02bbb9f359 Data Data generated by running the code
main.py Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Python Source Code - 2.7 KB - MD5: d298130fc29f0a84b33b58ad0d100a06
plotting.py Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Python Source Code - 15.3 KB - MD5: 9017e22f361d3ee27b7fa52a241a2834
README.md Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Markdown Text - 1.6 KB - MD5: d2572a82e8003c56d0307012ac4069d8
sampling.py Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Python Source Code - 11.1 KB - MD5: 1a719b0984045eca7ce97bc54b4b9e2b
utils.py Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Python Source Code - 2.6 KB - MD5: f921b3cd6389ea9f8e4707a3655a75f7
PN 6-3(Institute for Stochastics and Applications, Universität Stuttgart) Mar 16, 2021PN 6 SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"
Modeling Strategies for Gas migration in Subsurface (IWS, Universität Stuttgart) Mar 12, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3) This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.
Stochastic Simulation and Safety Research for Hydrosystems (LS3)(Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart) Mar 12, 2021Projects without PN Affiliation This dataverse contains data associated with the projects (as sub-dataverses) of LS3.

computation.py

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Python Source Code - 16.2 KB -

data.tar.gz

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Gzip Archive - 5.6 GB -

Data

Data generated by running the code

main.py

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Python Source Code - 2.7 KB -

plotting.py

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Python Source Code - 15.3 KB -

README.md

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Markdown Text - 1.6 KB -

sampling.py

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Python Source Code - 11.1 KB -

utils.py

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Python Source Code - 2.6 KB -

PN 6-3(Institute for Stochastics and Applications, Universität Stuttgart)

Mar 16, 2021PN 6

SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"

Modeling Strategies for Gas migration in Subsurface (IWS, Universität Stuttgart)

Mar 12, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3)

This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.

Stochastic Simulation and Safety Research for Hydrosystems (LS3)(Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart)

Mar 12, 2021Projects without PN Affiliation

This dataverse contains data associated with the projects (as sub-dataverses) of LS3.

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