PN 6

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

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1,091 to 1,100 of 1,126 Results

test_Normalizer.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 2.3 KB - MD5: 190b4fcc286512395776b6a6ea8e5e82
test_numpy_extras_4d_patching.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 26.8 KB - MD5: 90de93d92ccc4ee813198ce8caa28616
test_numpy_extras.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 37.2 KB - MD5: ccad9bb81812ca04db241e7e5dede39f
test_patching_tools.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 982 B - MD5: c4766457fbdd9bc2e85b1fd9834e1d1d
TestPythonExtrasC.cpp Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" C++ Source - 14.2 KB - MD5: 7f452cd57fe7d14f084fb15944e0bbdc
TestPythonExtrasC.vcxproj Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Unknown - 8.7 KB - MD5: 7f91c07f850852015328e0417e913962
TestPythonExtrasC.vcxproj.filters Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Unknown - 1.1 KB - MD5: ae30cd278bc9f9ed51d7ab441a251cc5
vgg_keras.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 1.1 KB - MD5: 4aac7f964741bae99ba9334cf1034e45
volume_tools.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 30.1 KB - MD5: aace71fb60917dfd7e45c7f6399badbd
Visual Analytics System for Hidden States in Recurrent Neural Networks Sep 10, 2021 - PN 6-4 Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/DARUS-2052, DaRUS, V1 Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analysis system. The sub directories contain the following: dataPreparation...

test_Normalizer.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 2.3 KB -

test_numpy_extras_4d_patching.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 26.8 KB -

test_numpy_extras.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 37.2 KB -

test_patching_tools.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 982 B -

TestPythonExtrasC.cpp

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

C++ Source - 14.2 KB -

TestPythonExtrasC.vcxproj

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Unknown - 8.7 KB -

TestPythonExtrasC.vcxproj.filters

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Unknown - 1.1 KB -

vgg_keras.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 1.1 KB -

volume_tools.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 30.1 KB -

Visual Analytics System for Hidden States in Recurrent Neural Networks

Sep 10, 2021 - PN 6-4

Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/DARUS-2052, DaRUS, V1

Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analysis system. The sub directories contain the following: dataPreparation...

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