PN 6

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

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681 to 690 of 877 Results

Iterators.hpp Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework text/x-c++hdr - 7.8 KB - MD5: ca8a754a049caa5781c37abfd7b1a6df
main.cpp Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework C++ Source - 6.0 KB - MD5: 46fb63bc934d827a5a71394d9606eb59
performance.cpp Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework C++ Source - 3.5 KB - MD5: 5a9837e46ed7cd2ad5471099ac5f9cba
performance_data.tab Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Tabular Data - 1.8 KB - 4 Variables, 79 Observations - UNF:6:aIyuHfDcWPT9LJvtkCge9w== Data generated by running test/performance.cpp (but here in tab-separated instead of csv format). The columns, as can be seen in test/performance.cpp, are: Dimension of the grid, bound for the level sum, number of points in the grid, median runtime in seconds.
README.md Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Markdown Text - 4.0 KB - MD5: ace814f78122f4b9ea5acee506e35eab
surf_plot.py Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Python Source Code - 741 B - MD5: ce3397b4a8120d7983455f2873d10644
tex_head.txt Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Plain Text - 8.4 KB - MD5: ad87f9b6293a27bb5edbc6d197b02c3d
tex_line_plot.py Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Python Source Code - 899 B - MD5: 0813b1edcbd2a513b411a8a25182628b
tex_tail.txt Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework Plain Text - 45 B - MD5: 75c795f5187adb5fae06e2d51b9552b9
NMTVis - Extended Neural Machine Translation Visualization System Jan 26, 2022 - PN 6-4 Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2022, "NMTVis - Extended Neural Machine Translation Visualization System", https://doi.org/10.18419/DARUS-2124, DaRUS, V1 NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afterward, users can find mistranslated sentences, explore and correct the...

Iterators.hpp

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

text/x-c++hdr - 7.8 KB -

main.cpp

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

C++ Source - 6.0 KB -

performance.cpp

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

C++ Source - 3.5 KB -

performance_data.tab

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Tabular Data - 1.8 KB - 4 Variables, 79 Observations -

Data generated by running test/performance.cpp (but here in tab-separated instead of csv format). The columns, as can be seen in test/performance.cpp, are: Dimension of the grid, bound for the level sum, number of points in the grid, median runtime in seconds.

README.md

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Markdown Text - 4.0 KB -

surf_plot.py

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Python Source Code - 741 B -

tex_head.txt

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Plain Text - 8.4 KB -

tex_line_plot.py

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Python Source Code - 899 B -

tex_tail.txt

Mar 29, 2022 - Replication Data for: Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework

Plain Text - 45 B -

NMTVis - Extended Neural Machine Translation Visualization System

Jan 26, 2022 - PN 6-4

Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2022, "NMTVis - Extended Neural Machine Translation Visualization System", https://doi.org/10.18419/DARUS-2124, DaRUS, V1

NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afterward, users can find mistranslated sentences, explore and correct the...

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