https://github.com/danielstankw/lstm-pytorch

Implementation of LSTM and LSTM-AE (Pytorch)
https://github.com/danielstankw/lstm-pytorch

lstm lstm-autoencoder pytorch

Last synced: 2 months ago
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Implementation of LSTM and LSTM-AE (Pytorch)

• Host: GitHub
• URL: https://github.com/danielstankw/lstm-pytorch
• Owner: danielstankw
• Created: 2023-08-15T16:41:05.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-08-15T17:04:11.000Z (almost 3 years ago)
• Last Synced: 2025-06-03T14:54:03.921Z (about 1 year ago)
• Topics: lstm, lstm-autoencoder, pytorch
• Language: Jupyter Notebook
• Homepage:
• Size: 116 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# LSTM and LSTM Autoencoder implementation in Pytorch

This repository consists of code for implementation of LSTM and LSTM-AE in Pytorch. 

The main/ extensive implementation and documentation can be found in: https://github.com/danielstankw/Anomaly-Detection, where I used Tensorflow. 

This repository was used as a playground, to compare Pytorch and Tensorflow implementation of LSTMs and compare their prediction times.