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License: MIT License

1,491 to 1,500 of 1,643 Results

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...
nmtvis_v2.0.zip Jan 26, 2022 - NMTVis - Extended Neural Machine Translation Visualization System ZIP Archive - 32.8 MB - MD5: 06b9aac73424ff7ef6e6aede57f1ecaf Source code of our visual analytics system
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Oct 15, 2021 - PN 6 Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/DARUS-2136, DaRUS, V1 Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab
adam.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 2.8 KB - MD5: 43201d1bd5e849ffc4b7794c6ab8e87c
adam.rst Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Unknown - 89 B - MD5: 8250c6756d6506ffa4b66dd979abe8eb
calculators.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 19.4 KB - MD5: e29400ad67a376583c46cbf02660672d
calculators.rst Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Unknown - 127 B - MD5: 6897ce0afd3ef2996882b9b277e51e72
conf.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 2.1 KB - MD5: ab53e5b08ee9fee9026c45a93398dab5
data_pipeline.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 22.2 KB - MD5: a2653482083db83b37563f17641c1ce2
data_preparation.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 2.1 KB - MD5: 88325f0823827f17b399b76142c45772

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...

nmtvis_v2.0.zip

Jan 26, 2022 - NMTVis - Extended Neural Machine Translation Visualization System

ZIP Archive - 32.8 MB -

Source code of our visual analytics system

Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Oct 15, 2021 - PN 6

Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/DARUS-2136, DaRUS, V1

Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab

adam.py

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Python Source Code - 2.8 KB -

adam.rst

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Unknown - 89 B -

calculators.py

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Python Source Code - 19.4 KB -

calculators.rst

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments