一个第三方哔哩哔哩客户端，A third-party bilibili client。

提供气象产品检验相关程序

Sample data, maps, etc.

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"

从Convlstm2D的基础上改编: https://github.com/ndrplz/ConvLSTM_pytorch 可用于雷达回波等短临预报领域,采用模仿Dr.SXJ的Seq2seq结构.

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

A benchmark dataset for data-driven weather forecasting

Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevier)

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

Video Predicting using ConvLSTM and pytorch

TianChi AIEarth Contest Solution

Unsupervised learning of Moving MNIST dataset. This repository contains implemention of ConvLSTM model and PredRNN++ model with Pytorch.

This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGBM and ARIMA

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

This repository is my outcome after reading the paper.

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

Multi-layer convolutional LSTM with Pytorch

pytorch implemention of trajGRU.