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  1. microsoft/ProbTS microsoft/ProbTS Public

    ProbTS is a benchmarking toolkit for time series forecasting.

    Python 101 12

  2. SageFormer SageFormer Public

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

    Python 45 3

  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 7 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 3 2