DaRUS

Metrics

3,803,105 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

License: MIT License

1,151 to 1,160 of 1,647 Results

train.py Feb 13, 2024 - Code for Training and Testing CNVVE Python Source Code - 19.2 KB - MD5: afe31ae475bdd43519fc8c9ba04274b5
urban-city-ambience_94bpm.wav Feb 13, 2024 - Code for Training and Testing CNVVE Waveform Audio - 4.0 MB - MD5: abf65878702e89b213532b4204bfdcda
white-noise-vinyl_C_minor.wav Feb 13, 2024 - Code for Training and Testing CNVVE Waveform Audio - 3.2 MB - MD5: 4d4201b22971a66fdd7d45362765688d
ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures Dec 11, 2023 - ABxM Framework for Agent-based Modeling and Simulation Schwinn, Tobias; Groenewolt, Abel; Nguyen, Long; Siriwardena, Lasath; Alvarez, Martín; Reiner, Alexander; Zorn, Max Benjamin; Menges, Achim, 2023, "ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures", https://doi.org/10.18419/DARUS-3438, DaRUS, V3 ABxM.PlateStructures is an add-on to ABxM.Core for agent-based design and development of plate structures, such as segmented timber shells. The add-on contains various agent system constructs and utilities for plate structure design and is intended to be used within Rhino/Grasshopper. This version contains the tools for designing plate structures s...
ABxM.PlateStructures-1.1.2-UML.pdf Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures Adobe PDF - 90.0 KB - MD5: 2bfc2380fd05012b3a984dacd172c7ec
ABxM.PlateStructures-1.1.2.zip Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures ZIP Archive - 2.0 MB - MD5: a0f0f31b82f954e6f338dc50f17ca6ea
ABxM.PlateStructuresCore.dll Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures Windows Executable - 64.0 KB - MD5: 18245701ac82c494ae0c1230304055ba
ABxM.PlateStructures.gha Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures Unknown - 244.0 KB - MD5: 57bd3f01255cad70cd10615cbb1d1d43
Release_notes.md Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures Markdown Text - 914 B - MD5: 4febe5d48b52c949847284e4013f94f6
Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs Sep 27, 2023 - Quantum Computing @IAAS Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/DARUS-3445, DaRUS, V1 Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository. Experiments: avg_rank_exp.py: Experiments for training QNNs using training data of varying Schm...

train.py

Feb 13, 2024 - Code for Training and Testing CNVVE

Python Source Code - 19.2 KB -

urban-city-ambience_94bpm.wav

Feb 13, 2024 - Code for Training and Testing CNVVE

Waveform Audio - 4.0 MB -

white-noise-vinyl_C_minor.wav

Feb 13, 2024 - Code for Training and Testing CNVVE

Waveform Audio - 3.2 MB -

ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures

Dec 11, 2023 - ABxM Framework for Agent-based Modeling and Simulation

Schwinn, Tobias; Groenewolt, Abel; Nguyen, Long; Siriwardena, Lasath; Alvarez, Martín; Reiner, Alexander; Zorn, Max Benjamin; Menges, Achim, 2023, "ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures", https://doi.org/10.18419/DARUS-3438, DaRUS, V3

ABxM.PlateStructures is an add-on to ABxM.Core for agent-based design and development of plate structures, such as segmented timber shells. The add-on contains various agent system constructs and utilities for plate structure design and is intended to be used within Rhino/Grasshopper. This version contains the tools for designing plate structures s...

ABxM.PlateStructures-1.1.2-UML.pdf

Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures

Adobe PDF - 90.0 KB -

ABxM.PlateStructures-1.1.2.zip

Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures

ZIP Archive - 2.0 MB -

ABxM.PlateStructuresCore.dll

Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures

Windows Executable - 64.0 KB -

ABxM.PlateStructures.gha

Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures

Unknown - 244.0 KB -

Release_notes.md

Dec 11, 2023 - ABxM.PlateStructures: Agent-based Architectural Design of Plate Structures

Markdown Text - 914 B -

Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs

Sep 27, 2023 - Quantum Computing @IAAS

Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/DARUS-3445, DaRUS, V1

Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository. Experiments: avg_rank_exp.py: Experiments for training QNNs using training data of varying Schm...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications