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Precipitation Nowcasting using DL - CS230 Deep Learning course group project

Jupyter Notebook 99.25% Shell 0.01% Python 0.74%

cs230project's Introduction

Stanford CS230 Project (Winter2020)

Precipitation Nowcasting using Deep Learning techniques

Project is attempting to nowcast precipitation based on radar images, using DL techniques.

The notebook titled "nowcastingmodel.ipynb" contains the baseline DL model which is based on ConvLSTM. It receive an input sequence of N images and predicts a sequence of M images. (Notice: in the notebook, N = M = 8 images).

Please run the "precipitationnowcasting.ipynb" using Google Colab

Predictions animation:

There are additional implementations using different DL architectures in the Models folder.

cs230project's People

Contributors

gsarm78 avatar yashgaur04 avatar jainanika avatar

Stargazers

 avatar  avatar  Anmin avatar Avijit Majhi avatar Yash Shah avatar SkyLake avatar  avatar  avatar shaohui zhou avatar  avatar KOKO avatar  avatar myRcnn avatar Lilly Thomas avatar Yichen Zhang avatar  avatar Sunyoung_Park avatar liu zhonghua avatar Lyz avatar Benedict Diederich avatar

Watchers

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cs230project's Issues

Hello,sir

It seems that the output images are not sequential. But I cannot find out why

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