SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
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1,071 to 1,080 of 1,089 Results
trafo_de_en_ensemble.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 1.1 GB - MD5: 2feb374d7b72d366ff5cf701614d4bca
Transformer model German to English
trafo_en_de_ensemble.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 1.1 GB - MD5: ec4ec452ebf1eab06982f4d6c26e3c46
Transformer model English to German
vocab_de-en.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 2.2 MB - MD5: fa2f8cfe1f2db3b5bc20cae3f81a4016
Vocabulary file for translation from German to English
vocab_en-de.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 2.2 MB - MD5: 1a5ef6db2cbc9711c3f4361a080e45a9
Vocabulary file for translation from English to German
nmtvis.zip
May 26, 2021 - NMTVis - Neural Machine Translation Visualization System
ZIP Archive - 31.3 MB - MD5: e35ec094ab6bf591a9a5b81d5a13c791
Source code of our visual analytics 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
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
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