| AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting | Aug 10, 2023 | AutoMLPhilosophy | CodeCode Available | 6 |
| Long-term Forecasting with TiDE: Time-series Dense Encoder | Apr 17, 2023 | Anomaly DetectionDecoder | CodeCode Available | 5 |
| BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models | May 23, 2025 | DiversityTime Series | CodeCode Available | 5 |
| Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts | Oct 14, 2024 | Mixture-of-ExpertsTime Series | CodeCode Available | 5 |
| skfolio: Portfolio Optimization in Python | Jul 5, 2025 | ManagementPortfolio Optimization | CodeCode Available | 5 |
| aeon: a Python toolkit for learning from time series | Jun 20, 2024 | Anomaly DetectionModel Selection | CodeCode Available | 5 |
| On Neural Differential Equations | Feb 4, 2022 | Irregular Time SeriesSymbolic Regression | CodeCode Available | 5 |
| MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection | May 24, 2022 | Anomaly DetectionAutoML | CodeCode Available | 5 |
| A Time Series is Worth 64 Words: Long-term Forecasting with Transformers | Nov 27, 2022 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 5 |
| DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting | Dec 14, 2024 | Clusteringenergy management | CodeCode Available | 5 |
