SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
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application.png
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
exampleData.zip
Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
ZIP Archive - 101.2 MB - MD5: dd836aa0f27d6260f8b011143a6ae60d
Example dataset that was recorded with two different eye trackers; it can be loaded into the analysis system
materials.zip
Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
ZIP Archive - 1.0 MB - MD5: 78e6d3f046a965031bfc2f51055a11f4
Additional information about Go
README.md
Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
Markdown Text - 6.3 KB - MD5: d3274de99af618853a65ef6a2704dd45
Information about the analysis system
release.zip
Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
ZIP Archive - 29.5 MB - MD5: 2e358ba20bb0d45552fa4e6066220390
Executable files of the analysis system
sourceCode.zip
Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
ZIP Archive - 29.5 MB - MD5: cf60c265a2cb8e048f2ca44d571ad19a
Java source code of the analysis 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 - 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
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