SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
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851 to 860 of 877 Results
May 26, 2021 - PN 6-4
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Trained Models for our Visual Analytics System", https://doi.org/10.18419/DARUS-1850, DaRUS, V1
Trained models and vocabulary files for the use in our visual analytics system NMTVis. There are models for German to English and vice versa available for an LSTM-based and the Transformer architecture.
Unknown - 723.5 MB - MD5: 0f2d89055f312d14b98df9c173b9467d
LSTM model German to English
Unknown - 728.0 MB - MD5: 1d5fef7d8aa21f476dfe71da0c2b085c
LSTM model English to German
Unknown - 1.1 GB - MD5: 2feb374d7b72d366ff5cf701614d4bca
Transformer model German to English
Unknown - 1.1 GB - MD5: ec4ec452ebf1eab06982f4d6c26e3c46
Transformer model English to German
Unknown - 2.2 MB - MD5: fa2f8cfe1f2db3b5bc20cae3f81a4016
Vocabulary file for translation from German to English
Unknown - 2.2 MB - MD5: 1a5ef6db2cbc9711c3f4361a080e45a9
Vocabulary file for translation from English to German
May 26, 2021 - PN 6-4
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Neural Machine Translation Visualization System", https://doi.org/10.18419/DARUS-1849, 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...
ZIP Archive - 31.3 MB - MD5: e35ec094ab6bf591a9a5b81d5a13c791
Source code of our visual analytics system
Mar 23, 2021 - PN 6-3
Holzmüller, David, 2021, "Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression", https://doi.org/10.18419/DARUS-1771, DaRUS, V1
This dataset contains code used to generate the figures in the paper On the Universality of the Double Descent Peak in Ridgeless Regression, David Holzmüller, International Conference on Learning Representations 2021. The code is also provided on GitHub. Here, we additionally provide the data that is generated by the code and that is required to ge...
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