Search results for deep-learning
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115 datasets for “deep-learning”
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MassiveFold data for target H1236 - T292
RAOURAOUA, NessimUpdated 26 Mar 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . 8040 predictions were generated …
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- ODS API
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MassiveFold data for target H1244 - T294
RAOURAOUA, NessimUpdated 26 Mar 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . 8040 predictions were generated …
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- GEOJSON
- ODS API
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MassiveFold data for target H1245 - T296
RAOURAOUA, NessimUpdated 26 Mar 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . 8040 predictions were generated …
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- GEOJSON
- ODS API
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MassiveFold data for target H1267 - T300
RAOURAOUA, NessimUpdated 26 Mar 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . 8040 predictions were generated …
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- GEOJSON
- ODS API
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MassiveFold data for target T1218 - T260
RAOURAOUA, NessimUpdated 27 Mar 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . 8040 predictions were generated …
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- GEOJSON
- ODS API
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MassiveFold data for target T1235 - T290
RAOURAOUA, NessimUpdated 26 Mar 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . 8040 predictions were generated …
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- GEOJSON
- ODS API
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MassiveFold data for target T1259 - T298
RAOURAOUA, NessimUpdated 26 Mar 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . 8040 predictions were generated …
- CSV
- JSON
- GEOJSON
- ODS API
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MassiveFold data for target T1270 - T302
RAOURAOUA, NessimUpdated 3 Apr 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . 8040 predictions were generated …
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- GEOJSON
- ODS API
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MassiveFold data for target T1298 - T309
RAOURAOUA, NessimUpdated 26 Mar 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . 8040 predictions were generated …
- CSV
- JSON
- GEOJSON
- ODS API
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MassiveFold data for target H1227 - T272
RAOURAOUA, NessimUpdated 27 Mar 2026
Lien vers la fiche source MassiveFold data generated for CASP16 , in collaboration with CAPRI . In this dataset, the …
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Inverse QSAR: reversing descriptor-driven prediction pipeline using attention-based conditional variational autoencoder (ACoVAE)
BORT, WilliamUpdated 5 Oct 2022
Lien vers la fiche source In order to better formalize the notorious Inverse-QSAR problem (finding structures of …
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- Socrata networkLive preview
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents
U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office (JPO) -- Recommended citation: "U.S. Department of Transportation Federal Highway Administration. (2024). Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland InUpdated 16 Sept 2024
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
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- SODA API
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Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents
Federal Highway AdministrationUpdated 6 Oct 2026
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
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- Socrata networkLive preview
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents Matched
U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office (JPO) -- Recommended citation: "U.S. Department of Transportation Federal Highway Administration. (2019). Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland InUpdated 16 Sept 2024
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
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- SODA API
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An Unexpectedly Large Count of Trees in the West African Sahara and Sahel - Bassin Arachidier au Sénégal
CNRS UMR TETISUpdated 17 May 2022
… African Sahara and Sahel that were derived using deep learning applied to 50 cm resolution satellite imagery. More …
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Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Speed Data
U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office (JPO) -- Recommended citation: "U.S. Department of Transportation Federal Highway Administration. (2024). Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland SpUpdated 16 Sept 2024
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
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- SODA API
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Projet Artisols - Espaces bâtis - Occitanie - 2015 à 2019
UMR TETIS - INRAEUpdated 17 May 2022
… une extraction automatique par méthode d'apprentissage profond (deep learning) à partir d'imagerie très haute résolution spatiale …
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Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019
U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office (JPO) -- Recommended citation: "U.S. Department of Transportation Federal Highway Administration. (2019). Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland AvUpdated 17 Sept 2024
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
- CSV
- JSON
- SODA API
- Data.gov Catalog
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019
Federal Highway AdministrationUpdated 6 Oct 2026
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
- JSON
- XML
- CSV
- Socrata networkLive preview
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Processed Integrated Traffic Work Zone Data
U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office (JPO) -- Recommended citation: "U.S. Department of Transportation Federal Highway Administration. (2024). Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Processed IntegUpdated 16 Sept 2024
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
- CSV
- JSON
- SODA API