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1 to 10 of 1,036 Results

Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems Sep 17, 2026 - Holm group Fellner, Tobias; Merklinger, Jonas; Holm, Christian, 2026, "Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems", https://doi.org/10.18419/DARUS-6457, DaRUS, V1 The data and scripts provided here are for reproducing the results of "Multivariate quantum reservoir computing with discrete and continuous variable systems" (https://doi.org/10.48550/arXiv.2604.08427). See the README.md file for details and instructions.
multivariate-qrc-deposit.zip Sep 17, 2026 - Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems ZIP Archive - 94.0 MB - MD5: 1ecbbbe901feca2a0bd6e51e88166cd5
Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Sep 4, 2026 - Holm group Hoßbach, Julian; Tovey, Samuel; Kuppel, Sandro; Ensslen, Tobias; Behrends, Jan; Holm, Christian, 2026, "Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"", https://doi.org/10.18419/DARUS-5740, DaRUS, V2 This dataset contains all scripts required to replicate the results of our paper "Deep Learning-Driven Peptide Classification in Biological Nanopores". Data can be obtained through the corresponding author.
compute_deepliftshap_results.py Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 5.7 KB - MD5: a4185879c6fbfae33fb0c7f68019472d
create_wavelet_images.py Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 3.2 KB - MD5: 5e7291d1c460388803a74a4217a749c1
data.py Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 6.6 KB - MD5: c592a6fa1588f4db33833171cf19a3b2
main.py Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 10.4 KB - MD5: d5b8d64c1c8c82789a9bf55728b8ace6
main.py Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 10.4 KB - MD5: fa3433e86c19fb43a905e3cd32bef2da
models.py Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 7.8 KB - MD5: 8704a6a7c8e7f20d54d73fc029dd5693
peptide_data.py Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 8.2 KB - MD5: 43dc6a3b7b1e19131f769d64889240f6

Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems

Sep 17, 2026 - Holm group

Fellner, Tobias; Merklinger, Jonas; Holm, Christian, 2026, "Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems", https://doi.org/10.18419/DARUS-6457, DaRUS, V1

The data and scripts provided here are for reproducing the results of "Multivariate quantum reservoir computing with discrete and continuous variable systems" (https://doi.org/10.48550/arXiv.2604.08427). See the README.md file for details and instructions.

multivariate-qrc-deposit.zip

Sep 17, 2026 - Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems

ZIP Archive - 94.0 MB -

Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Sep 4, 2026 - Holm group

Hoßbach, Julian; Tovey, Samuel; Kuppel, Sandro; Ensslen, Tobias; Behrends, Jan; Holm, Christian, 2026, "Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"", https://doi.org/10.18419/DARUS-5740, DaRUS, V2

This dataset contains all scripts required to replicate the results of our paper "Deep Learning-Driven Peptide Classification in Biological Nanopores". Data can be obtained through the corresponding author.

compute_deepliftshap_results.py

Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 5.7 KB -

create_wavelet_images.py

Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 3.2 KB -

data.py

Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 6.6 KB -

main.py

Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 10.4 KB -

main.py

Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 10.4 KB -

models.py

Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 7.8 KB -

peptide_data.py

Sep 4, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 8.2 KB -

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