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1 to 10 of 218 Results
volume_tools.py
Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"
Python Source Code - 30.1 KB - MD5: aace71fb60917dfd7e45c7f6399badbd
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
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
vm-202104.1.0.tar.gz
Sep 27, 2021 - preCICE Distribution Version v2104.0
Gzip Archive - 8.8 KB - MD5: e8200c521de7e8d0e8d4e19a7594a010
Vagrant box with preCICE and examples preinstalled
vgg_keras.py
Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"
Python Source Code - 1.1 KB - MD5: 4aac7f964741bae99ba9334cf1034e45
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
utils.py
Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Python Source Code - 5.4 KB - MD5: e031f8dc92eb579663a3121c9919b3ba
UmbrellaSampling.tar.gz
Nov 25, 2021 - Supplementary material for 'Umbrella sampling and double decoupling data for methanol binding to Candida antarctica lipase B'
Gzip Archive - 3.4 MB - MD5: c700659d5c6c890fdac4b1d9dff636ce
Contains simulation data (in-/output, scripts) from Umbrella Sampling
tutorials-202104.1.1.tar.gz
Sep 27, 2021 - preCICE Distribution Version v2104.0
Gzip Archive - 6.1 MB - MD5: 49693609843e40a31f4db34ff1f14f34
Tutorial cases for preCICE with real solvers
trainer.py
Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Python Source Code - 7.7 KB - MD5: e6a640a4d9ac9519921e84f82da54520
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