Shypd.aiThe largest open index of AI toolsTransformer-time-series-prediction is an open-source data & analytics tool that provides proof-of-concept transformer-based models for time series prediction. It includes both single-step and multi-step prediction capabilities using PyTorch.
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Transformer-time-series-prediction is an open-source project offering a proof of concept for transformer-based time series prediction models. It features two distinct PyTorch models: one for single-step predictions and another for multi-step predictions. While designed as a demonstration, the repository highlights the models' ability to learn long-term trends from training data, as shown with the daily minimum temperature dataset. Users interested in serious applications are directed to the flow-forecast package, indicating this tool is primarily for research, experimentation, or understanding the underlying concepts of transformer models in time series forecasting rather than production-ready deployment. The project is available on GitHub under an MIT license.
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