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widis-lstm-tools v0.4

Various Tools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch, aimed at getting your LSTM networks under control and providing a flexible template for your LSTM-needs.

LSTM paper (not earliest): https://www.mitpressjournals.org/doi/abs/10.1162/neco.1997.9.8.1735

Quickstart

You can directly install the package from GitHub using the command below:

pip install git+https://github.com/widmi/widis-lstm-tools

To update your installation with dependencies, you can use:

pip install --upgrade git+https://github.com/widmi/widis-lstm-tools

To update your installation without dependencies, you can use:

pip install --no-dependencies --upgrade git+https://github.com/widmi/widis-lstm-tools

Run the simple example via

python3 widis_lstm_tools/examples/basic/main.py config.json

Run the more advanced example via

python3 widis_lstm_tools/examples/model_selection/main.py config.json

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I wish you the best for your work with LSTM!

-- Michael W. (widi)

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Tools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch

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