PN 6

SimTech EXC 2075 Project Network 6 "Machine learning for simulation"

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831 to 840 of 846 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, 2021 SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"
application.png Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games PNG Image - 662.9 KB - MD5: 5068b2ecd03c252fdf386983052df6d8 Screenshot of the analysis system
demo.zip Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games ZIP Archive - 63.8 MB - MD5: 8082811d4563eaffbed93e1bdfc0dd05 Video demonstrating the features of the system

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, 2021

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

application.png

Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games

PNG Image - 662.9 KB -

Screenshot of the analysis system

demo.zip

Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games

ZIP Archive - 63.8 MB -

Video demonstrating the features of the system

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