This repository includes both training and testing data used in DMapNet. For details, please refer to the homepage https://github.com/cao13jf/DMapNet
The data provided here are part of a Galaxy Training Network tutorial for "Machine learning: classif...
This dataset contains the training, validation and testing samples used during the research reported...
This repository contains the mapspamc database (mapspamc_db), a collection of global spatial dataset...
The official dataset of MixNet, a structured deep neural motion prediction algorithm for autonomous ...
DMap is a research prototype and demo tool developed to explore use cases of machine-actionable Data...
This code creates and trains a deep neural network (DNN) using the Deep Learning Toolbox
This data is the result of a machine learning classification experiment performed for the Data Stewa...
Demo given by Sam Rust at the 15th International Digital Curation Conference (#IDCC20) on how the DM...
This repository contains the supporting information for the main text, including methodology and tab...
This Data Management Plan (DMP) characterises the existing and planned data management, data securit...
This project deliverable describes the DyMoN Data Hub with its data processing model, software archi...
This is the Data Management Plan for an exercise conducted in the Data Stewardship lecture at TU Vie...
This record presents the data underlying Skills4EOSC Deliverable D6.1 Mapping of existing profession...
There are two files in the data package. One file gives the geographic information about the researc...
This is a companion dataset for the course available at https://github.com/guiwitz/DLImaging on Deep...
The data provided here are part of a Galaxy Training Network tutorial for "Machine learning: classif...
This dataset contains the training, validation and testing samples used during the research reported...
This repository contains the mapspamc database (mapspamc_db), a collection of global spatial dataset...
The official dataset of MixNet, a structured deep neural motion prediction algorithm for autonomous ...
DMap is a research prototype and demo tool developed to explore use cases of machine-actionable Data...
This code creates and trains a deep neural network (DNN) using the Deep Learning Toolbox
This data is the result of a machine learning classification experiment performed for the Data Stewa...
Demo given by Sam Rust at the 15th International Digital Curation Conference (#IDCC20) on how the DM...
This repository contains the supporting information for the main text, including methodology and tab...
This Data Management Plan (DMP) characterises the existing and planned data management, data securit...
This project deliverable describes the DyMoN Data Hub with its data processing model, software archi...
This is the Data Management Plan for an exercise conducted in the Data Stewardship lecture at TU Vie...
This record presents the data underlying Skills4EOSC Deliverable D6.1 Mapping of existing profession...
There are two files in the data package. One file gives the geographic information about the researc...
This is a companion dataset for the course available at https://github.com/guiwitz/DLImaging on Deep...
The data provided here are part of a Galaxy Training Network tutorial for "Machine learning: classif...
This dataset contains the training, validation and testing samples used during the research reported...
This repository contains the mapspamc database (mapspamc_db), a collection of global spatial dataset...
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