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1. microsoft/ProbTS microsoft/ProbTS Public

   ProbTS is a benchmarking toolkit for time series forecasting.

   Python 126 15

2. SageFormer SageFormer Public

   Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".

   Python 52 4

3. TADNet TADNet Public

   Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".

   Python 8 2

4. Seq2Peak Seq2Peak Public

   Code release for CIKM 2023 paper "Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting".

   Python 9 1

5. Tensor-Time-Series Tensor-Time-Series Public

   Papers and datasets for tensor time series.

   Python 4 2