RainNet is a convolutional deep neural network for precipitation nowcasting. This repository contains the pretrained RainNet model and its weights. You can find more details about RainNet in the following GitHub repository: https://github.com/hydrogo/rainnet
International audienceShort or mid-term rainfall forecasting is a major task with several environmen...
Code used in the paper "Deep learning models for generation of precipitation maps based on NWP" Als...
In recent several decades, rain removal task, especial single image de-raining has attracted pretty ...
In this repository you can find the weights of the models used in the paper "Deep Learning Approach ...
Version used to train and run the RainNet model used as a reference model in the manuscript "Advect...
This dataset contains the pre-trained models from the publication "A note on leveraging synergy in m...
AI-for-science approaches have been applied to solve scientific problems (e.g., nuclear fusion, ecol...
2022 Summer.Includes bibliographical references.Quantitative Precipitation Estimation is the process...
RYDL is the sample data of the RY product provided by the German Weather Service (DWD). This data ha...
Most outdoor vision systems can be influenced by rainy weather conditions. We present a single-image...
Most outdoor vision systems can be influenced by rainy weather conditions. We present a single-image...
Twenty-three rainfall events were monitored to determine the characteristics of the stormwater runof...
This thesis deals with rain prediction using information from meteoradar images and some other relev...
In this repository you can find the converted images of the RADOLAN Product provided by the German W...
The current release v1.0-gmdd of the RainNet model supports the model description paper to be submit...
International audienceShort or mid-term rainfall forecasting is a major task with several environmen...
Code used in the paper "Deep learning models for generation of precipitation maps based on NWP" Als...
In recent several decades, rain removal task, especial single image de-raining has attracted pretty ...
In this repository you can find the weights of the models used in the paper "Deep Learning Approach ...
Version used to train and run the RainNet model used as a reference model in the manuscript "Advect...
This dataset contains the pre-trained models from the publication "A note on leveraging synergy in m...
AI-for-science approaches have been applied to solve scientific problems (e.g., nuclear fusion, ecol...
2022 Summer.Includes bibliographical references.Quantitative Precipitation Estimation is the process...
RYDL is the sample data of the RY product provided by the German Weather Service (DWD). This data ha...
Most outdoor vision systems can be influenced by rainy weather conditions. We present a single-image...
Most outdoor vision systems can be influenced by rainy weather conditions. We present a single-image...
Twenty-three rainfall events were monitored to determine the characteristics of the stormwater runof...
This thesis deals with rain prediction using information from meteoradar images and some other relev...
In this repository you can find the converted images of the RADOLAN Product provided by the German W...
The current release v1.0-gmdd of the RainNet model supports the model description paper to be submit...
International audienceShort or mid-term rainfall forecasting is a major task with several environmen...
Code used in the paper "Deep learning models for generation of precipitation maps based on NWP" Als...
In recent several decades, rain removal task, especial single image de-raining has attracted pretty ...
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