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License: MIT License

1 to 10 of 799 Results

white-noise-vinyl_C_minor.wav Feb 13, 2024 - Code for Training and Testing CNVVE audio/vnd.wave - 3.2 MB - MD5: 4d4201b22971a66fdd7d45362765688d
weibull_model.py Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations Python Source Code - 6.1 KB - MD5: ad25101822fff7dda31d269e56cd310d Python file used to obtain the maximum capacity based on the Weibull model.
watdivgraphds.ipynb Feb 21, 2024 - Code and benchmark for NPCS, a Native Provenance Computation for SPARQL Jupyter Notebook - 898.9 KB - MD5: bdf7b98e5bbf0bf0471428e5a1b529d3
volume_tools.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 30.1 KB - MD5: aace71fb60917dfd7e45c7f6399badbd
Void.tif May 15, 2024 - Image processing code for characterization of multiphase flow in porous media TIFF Image - 117.2 KB - MD5: 8ce3176f495ed24cd1ae7d7b0e53013d Segmented image as a mask for the void
Vocabulary.scala Feb 16, 2024 - Code for From Shapes to Shapes Unknown - 2.3 KB - MD5: 16b6689ecfe432b870b18f09b7ba150e
vis_utils.py Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs Python Source Code - 2.9 KB - MD5: e03fd7afffe888e2895e000bc5d68279 Utility functions for visualisation.
vgg_keras.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 1.1 KB - MD5: 4aac7f964741bae99ba9334cf1034e45
vector_2d.hpp Apr 2, 2024 - Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study Unknown - 6.6 KB - MD5: ec87c572313a0ca1d4842cad71ddd260
VarTests.scala Feb 16, 2024 - Code for From Shapes to Shapes Unknown - 492 B - MD5: ae02dabc4225e771b07bb1f82f83f5bc

white-noise-vinyl_C_minor.wav

Feb 13, 2024 - Code for Training and Testing CNVVE

audio/vnd.wave - 3.2 MB -

weibull_model.py

Jul 17, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations

Python Source Code - 6.1 KB -

Python file used to obtain the maximum capacity based on the Weibull model.

watdivgraphds.ipynb

Feb 21, 2024 - Code and benchmark for NPCS, a Native Provenance Computation for SPARQL

Jupyter Notebook - 898.9 KB -

volume_tools.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"