SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
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4,881 to 4,890 of 4,903 Results
seq2seq_en_de_epoch_20.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 728.0 MB - MD5: 1d5fef7d8aa21f476dfe71da0c2b085c
LSTM model English to German
trafo_de_en_ensemble.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 1.1 GB - MD5: 2feb374d7b72d366ff5cf701614d4bca
Transformer model German to English
trafo_en_de_ensemble.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 1.1 GB - MD5: ec4ec452ebf1eab06982f4d6c26e3c46
Transformer model 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
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
NMTVis - Neural Machine Translation Visualization System
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...
nmtvis.zip
May 26, 2021 - NMTVis - Neural Machine Translation Visualization System
ZIP Archive - 31.3 MB - MD5: e35ec094ab6bf591a9a5b81d5a13c791
Source code of our visual analytics system
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
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...
computation.py
Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 16.2 KB - MD5: 727ea9050972d03f12c6aa5b32b7e37c
data.tar.gz
Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Gzip Archive - 5.6 GB - MD5: 220970917c2371206a808c02bbb9f359
Data
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