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ZIP Archive - 2.1 MB - MD5: 45e317e218545d8d33aaa99f0bb3ffef
Screenshots of our neural machine translation system.
Jul 25, 2023 - PN 6-4
Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3589, DaRUS, V1
Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.
ZIP Archive - 2.7 MB - MD5: b8a072d4e77d1306ec3e027a5537c2cc
Source code of our visual analytics system
Jul 19, 2023 - SFB 1333 A3 - Schlaich group, ICP
Jäger, Henrik, 2023, "Replication Data for: A screening of results on the decay length in concentrated electrolytes", https://doi.org/10.18419/DARUS-3551, DaRUS, V1
This is the repository holding the inputs for atomistic Molecular Dynamics Simulations of nano-confined mica slabs as well as the outputs for cDFT calculations. Also, scripts for input generation and all analysis tools used are See the README file for more information.
Fixed Field Text Data - 37.9 KB - MD5: 3548157575c18d0de486ab0cf80527f2
Fixed Field Text Data - 37.9 KB - MD5: c9bfa758fb59cab97eae78b8328c9b74
Fixed Field Text Data - 37.9 KB - MD5: f2aae3fa325c7abb240fcea35d406d97
Fixed Field Text Data - 37.9 KB - MD5: 78c27e620e7666b57dbf70987deccc44
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Fixed Field Text Data - 37.9 KB - MD5: 7207d27c85449e6bb3761514dd7a95cb
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