froukje/pytorch-lightning-LSTM-example
This repo contains examples of simple LSTMs using pytorch-lightning.
This project helps machine learning engineers or researchers get started with building recurrent neural networks (RNNs) for time series analysis. It demonstrates how to set up, train, and evaluate simple Long Short-Term Memory (LSTM) models using the PyTorch Lightning framework. You input structured time series data, and it shows you how to process it and train a model to potentially make predictions.
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Use this if you are a machine learning practitioner looking for a practical, hands-on guide to applying PyTorch Lightning to time series forecasting with LSTMs.
Not ideal if you are looking for a highly optimized, production-ready time series forecasting solution or a project focused on achieving state-of-the-art model performance.
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Mar 19, 2021
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