autogluon
Time-Series-Library
autogluon | Time-Series-Library | |
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19 | 3 | |
5,088 | 4,420 | |
- | 10.3% | |
9.9 | 8.7 | |
over 1 year ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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autogluon
Time-Series-Library
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[D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)
Don't use an LSTM. Get up to date with SoTA methods and read the papers in the field. LSTMs are not the way forward. Read the papers I suggested. It would be very useful to come to grips with both the Time Series Repository (https://github.com/thuml/Time-Series-Library) and Darts (https://github.com/unit8co/darts) as these are widely used for research and in industry.
- GitHub - thuml/Time-Series-Library: A Library for Advanced Deep Time Series Models.
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Inverted Transformers Are Effective for Time Series Forecasting
Cool! I find it has been implemented in the tslib (https://github.com/thuml/Time-Series-Library), the results seem promising when I reproduce the experiments.
What are some alternatives?
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