Skip to content
@DAMO-DI-ML

DAMO-DI-ML

AI for Time Series (AI4TS) and XAI
README.md

We are a group of engineers and researchers from the Decision Intelligence Lab of DAMO Academy, Alibaba Group, led by Dr. Liang Sun. Motivated by challenging problems arising from industry, we are working on AI for time series and explainable AI (XAI), including time series anomaly detection, time series forecasting, rule learning, and effective and efficient explaining methods for time series.

Our team is located in Hangzhou, China and Bellevue, WA, USA. We are very happy to hire interns in both Hangzhou and Bellevue for collaboration on cutting-edge research on time series and XAI. For internship opportunity, please contact liang[dot]sun[at]alibaba-inc.com.

More introduction to our lab - Decision Intelligence Lab, please go to our official website.

Popular repositories Loading

  1. NeurIPS2023-One-Fits-All NeurIPS2023-One-Fits-All Public

    The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

    Python 488 71

  2. ICML2022-FEDformer ICML2022-FEDformer Public

    Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

    Python 199 34

  3. KDD2023-DCdetector KDD2023-DCdetector Public

    Python 198 23

  4. AI-for-Time-Series-Papers-Tutorials-Surveys AI-for-Time-Series-Papers-Tutorials-Surveys Public

    A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

    159 26

  5. CIKM22-TFAD CIKM22-TFAD Public

    Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis

    Python 51 11

  6. AAAI2022-HCM AAAI2022-HCM Public

    Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data

    Python 37 6

Repositories

Showing 10 of 18 repositories
  • WeatherODE Public

    The official code for "Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting".

    DAMO-DI-ML/WeatherODE’s past year of commit activity
    Python 10 1 1 0 Updated Oct 23, 2024
  • XAI-for-Time-Series Public

    The official hub for our team dedicated to explainable AI (XAI) for time series, providing valuable resources to enhance understanding this critical field.

    DAMO-DI-ML/XAI-for-Time-Series’s past year of commit activity
    2 MIT 0 0 0 Updated Aug 10, 2024
  • FusionSF Public
    DAMO-DI-ML/FusionSF’s past year of commit activity
    Python 2 0 0 0 Updated Jun 13, 2024
  • NeurIPS2023-One-Fits-All Public

    The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

    DAMO-DI-ML/NeurIPS2023-One-Fits-All’s past year of commit activity
    Python 488 71 36 0 Updated Jan 8, 2024
  • ICDM2023-Tutorial-Time-Series Public

    ICDM’23 Tutorial, “Robust Time Series Analysis and Applications: A Interdisciplinary Approach”

    DAMO-DI-ML/ICDM2023-Tutorial-Time-Series’s past year of commit activity
    10 0 0 0 Updated Dec 3, 2023
  • CIKM2023-GCformer Public
    DAMO-DI-ML/CIKM2023-GCformer’s past year of commit activity
    Python 1 0 0 0 Updated Oct 13, 2023
  • KDD2023-DCdetector Public
    DAMO-DI-ML/KDD2023-DCdetector’s past year of commit activity
    Python 198 23 22 0 Updated Oct 9, 2023
  • KDD2022-Tutorial-Time-Series Public

    KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective

    DAMO-DI-ML/KDD2022-Tutorial-Time-Series’s past year of commit activity
    30 4 0 0 Updated Sep 22, 2023
  • .github Public
    DAMO-DI-ML/.github’s past year of commit activity
    0 0 0 0 Updated Aug 3, 2023
  • KDD2022-Quatformer Public

    Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting

    DAMO-DI-ML/KDD2022-Quatformer’s past year of commit activity
    Python 28 MIT 5 0 0 Updated May 12, 2023
View all repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…