bruce803 / Air-quality-predictionLinks
We propose to continuously predict the whole $station \times feature$ map in the next 1 to 48 hours with a convolutional LSTM (ConvLSTM, long short-term memory), which replaces the fully connected network in the classical LSTM with convolutional operations.
☆10Updated 5 years ago
Alternatives and similar repositories for Air-quality-prediction
Users that are interested in Air-quality-prediction are comparing it to the libraries listed below
Sorting:
- Predict pictures based on ConvLSTM☆19Updated 4 years ago
- Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity☆38Updated 2 years ago
- Convolutional LSTM for Precipitation Nowcasting☆56Updated 7 years ago
- ConvLSTM for short-term precipitation forecasting.☆22Updated 6 years ago
- Typhoon Prediction☆12Updated 5 years ago
- A library designed to implement deep learning algorisms to climate data for weather and climate prediction.☆21Updated 2 years ago
- TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.☆18Updated 3 years ago
- Precipitation Nowcasting using DL - CS230 Deep Learning course group project☆22Updated 5 years ago
- TianChi AIEarth Contest Solution☆80Updated 3 years ago
- This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGB…☆144Updated 4 years ago
- GAN based ConvLSTM in precipitation prediction (Trial Version)☆49Updated last year
- KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning☆29Updated 6 years ago
- LSTM to predict wind speed☆52Updated 4 years ago
- Spatial-temperal Prediction Model based on history observation and WRF numerical prediction☆36Updated 5 years ago
- 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.☆33Updated 5 years ago
- 🍃 Wind Speed Prediction Model based on Pytorch☆14Updated last year
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆21Updated 4 years ago
- A model for short-term precipitation forecasting based on radar data☆63Updated 11 months ago
- An application of ConvLSTM in 3D precipitation nowcasting in Kobe city, Japan☆17Updated 6 years ago
- Base-line model☆17Updated 3 years ago
- Predicting the amount of Particulate Matter (PM2.5) content in the air☆15Updated 5 years ago
- Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevi…☆68Updated 3 years ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆34Updated 2 years ago
- Pytorch Implementation of the Paper: Self-Attention ConvLSTM for Spatiotemporal Prediction☆21Updated 8 months ago
- A NWP precipitation bias correction model based on Unet☆18Updated 2 years ago
- Wind Speed Prediction using LSTM☆13Updated 5 years ago
- Pytorch implementation of Self-Attention ConvLSTM☆94Updated 11 months ago
- A spatiotemporal causal convolutional network for predicting air pollution.☆67Updated 2 years ago
- Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extre…☆15Updated 10 months ago
- Official source code for paper 《SAF-Net: A Spatio-Temporal Deep Learning Method for Typhoon Intensity Prediction》☆42Updated 3 years ago