Multi-layer convolutional LSTM with Pytorch

Last update: Dec 30, 2022

Overview

Convolution_LSTM_pytorch

Thanks for your attention. I haven't got time to maintain this repo for a long time. I recommend this repo which provides an excellent implementation.

Usage

A multi-layer convolution LSTM module Pytorch implementation of Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

clstm = ConvLSTM(input_channels=512, hidden_channels=[128, 64, 64], kernel_size=5, step=9, effective_step=[2, 4, 8])
lstm_outputs = clstm(cnn_features)
hidden_states = lstm_outputs[0]

Thanks

Thanks to @Jackie-Chou and @chencodeX who provide lots of valuable advice. I apology for the inconvenience.

Owner

Zijie Zhuang

[email protected] University, Machine Learning & Computer Vision

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Multi-layer convolutional LSTM with Pytorch

Related tags

Overview

Convolution_LSTM_pytorch

Usage

Thanks

Owner

Zijie Zhuang

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