Leopegasus/Time-Series-Library
Time-Series-Library (TSLib) TSLib is an open-source library for deep learning researchers, especially for deep time series analysis. We provide a neat code base to evaluate advanced deep time series models or develop your model, which covers five mainstream tasks: long- and short-term forecasting, imputation, anomaly detection, and classification. This benchmark collection is designed to evaluate and develop advanced deep time-series models. For an in-depth exploration of… See the full description on the dataset page: https://huggingface.co/datasets/Leopegasus/Time-Series-Library.
| Author / organization | Leopegasus |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 155 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 26 April 2026 |
| Last updated at source | 26 April 2026 |
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155 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Time-Series-Library (TSLib) TSLib is an open-source library for deep learning researchers, especially for deep time series analysis. We provide a neat code base to evaluate advanced deep time series models or develop your model, which cover → Time-Series-Library (TSLib) TSLib is an open-source library for deep learning researchers, especially for deep time series analysis. We provide a neat code base to evaluate advanced deep time series models or develop your model, which cover
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.