MahatmaSun1

Air-quality-prediction

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.

AttentionAugmentedConvLSTM

Implementation of TAAConvLSTM and SAAConvLSTM used in "Attention Augmented ConvLSTM for Environment Prediction"

ConvLSTM-precipitation

ConvLSTM for short-term precipitation forecasting.

Convolutional_LSTM_PyTorch

Multi-layer convolutional LSTM with Pytorch

EMD-convlstm-time-series-forecast

python，tf2中，构建EMD-convlstm模型进行时间序列预测，首先对原始序列进行分解，然后对每一个子序列分别进行时间序列预测建模，最后将各算法的结果相加，作为最终结果，需要的加我qq2919218574

ieee_weather

Spatio-temporal Numerical Weather Forecasting Pipeline. It has the code for the introduced weather model architecture

precipitation-prediction-convLSTM-keras-1

Prediction-of-temperature-CHIRTS-data-using-convLSTM-and-LSTM

Prediction of temperature CHIRTS data using convLSTM and LSTM

SaConvSLTM

Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on MovingMNIST.

Time-series-prediction-by-ConvLSTM

In this project, a BiLSTM model has been developed for time series prediction by python programming. Programming language: Python Programming software: Jupyter notebook

MahatmaSun1/SaConvSLTM

Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on MovingMNIST.

MahatmaSun1/Time-series-prediction-by-ConvLSTM

In this project, a BiLSTM model has been developed for time series prediction by python programming. Programming language: Python Programming software: Jupyter notebook

MahatmaSun1/EMD-convlstm-time-series-forecast

python，tf2中，构建EMD-convlstm模型进行时间序列预测，首先对原始序列进行分解，然后对每一个子序列分别进行时间序列预测建模，最后将各算法的结果相加，作为最终结果，需要的加我qq2919218574

MahatmaSun1/precipitation-prediction-convLSTM-keras-1

MahatmaSun1/Prediction-of-temperature-CHIRTS-data-using-convLSTM-and-LSTM

Prediction of temperature CHIRTS data using convLSTM and LSTM

MahatmaSun1/Air-quality-prediction

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.

MahatmaSun1/AttentionAugmentedConvLSTM

Implementation of TAAConvLSTM and SAAConvLSTM used in "Attention Augmented ConvLSTM for Environment Prediction"

MahatmaSun1/ConvLSTM-precipitation

ConvLSTM for short-term precipitation forecasting.

MahatmaSun1/Convolutional_LSTM_PyTorch

Multi-layer convolutional LSTM with Pytorch

MahatmaSun1/ieee_weather

Spatio-temporal Numerical Weather Forecasting Pipeline. It has the code for the introduced weather model architecture

MahatmaSun1/malawi-flood-prediction

TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.

MahatmaSun1/Precipitation-Nowcasting

pytorch implemention of trajGRU.

MahatmaSun1/precipitation-prediction-convLSTM-keras

Convolutional LSTM neural network to extrapolate radar images, and predict rainfall - CIKM 2017 contest

MahatmaSun1/rainfall-prediction-using-Convlstm

MahatmaSun1/Real-World-Masked-Face-Dataset

Real-World Masked Face Dataset，口罩人脸数据集