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CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images
CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.
Skilful precipitation nowcasting using deep generative models of radar
Code relative to the publication "Precipitation nowcasting with generative diffusion models"
[NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
RainNet: a convolutional neural network for radar-based precipitation nowcasting
This is the implementation code of the paper(Skilful precipitation nowcasting using deep generative models of radar) Edit by Ziyu Wang
Quickly bring up your PyTorch project(a skeleton)
This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wind speed".
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