251 to 260 of 10,771 Results
Mar 22, 2025 -
ProciGen-video dataset for "InterTrack: Tracking Human Object Interaction without Object Templates" (3DV'25)
ZIP Archive - 612.9 MB -
MD5: 791dee15313fcecfe9f2f4c2b130be5e
Data to run InterTrack quick start demo |
Mar 22, 2025 -
Analysis of warm pool precipitation in ICON
ZIP Archive - 610.6 KB -
MD5: e139bffed9070fa3dfe657620f8ab360
These files are used to analyze ICON data for the scientific article :" A single tropical rainbelt in global storm-resolving models: the role of surface heat fluxes over the warm pool" |
ZIP Archive - 6.2 MB -
MD5: afe33ad9d3e96143b09238c111f4ab9d
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Mar 21, 2025 -
ProciGen-video dataset for "InterTrack: Tracking Human Object Interaction without Object Templates" (3DV'25)
ZIP Archive - 3.1 GB -
MD5: 8bc9dac5707da9a605a3dce1dc135022
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ZIP Archive - 1.1 MB -
MD5: 081ff57f25c186b633faa5d4cf591a0a
data of individual figures |
Mar 19, 2025 -
Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'
ZIP Archive - 83.3 KB -
MD5: f7099ed90117e2b892bc8f6b52d3912b
Source code and example script |
Mar 19, 2025 -
Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'
ZIP Archive - 112.3 KB -
MD5: 55f66c7eabc00bd0a14cb08dc136714c
Vapor pressure predictions from other methods for comparison (OHE-CNN, EPI-suite, SIMPOL, EVAPORATION) |
Mar 19, 2025 -
Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'
ZIP Archive - 2.1 MB -
MD5: 1ad5e906bb551428efa87e536477ae3d
Pre-processed input data and test sets |
Mar 19, 2025 -
Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'
ZIP Archive - 102.8 KB -
MD5: 9389889dd1a8d9a64b2c7c3268a70798
Original data sets (Naef, pubchem) |
Mar 19, 2025 -
Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'
ZIP Archive - 33.5 KB -
MD5: a00058fb3111222a200507332563436f
Test set predictions and errors of final models |