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Data Management Technology and AI

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  1. MASTER MASTER Public

    This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price for…

    Python 165 36

  2. StockMixer StockMixer Public

    Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".

    Python 116 24

  3. qlib qlib Public

    Forked from microsoft/qlib

    This forked repo additionally includes our DoubleAdapt (KDD'23) and MASTER (AAAI'24) for re-experiment.

    Python 102 17

  4. DoubleAdapt DoubleAdapt Public

    The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

    Python 86 13

  5. Quant-Reading-List Quant-Reading-List Public

    Papers for AI + quantitative investment

    82 8

  6. LIFT LIFT Public

    The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.

    Python 68 8

Repositories

Showing 10 of 20 repositories
  • LIFT Public

    The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.

    SJTU-DMTai/LIFT’s past year of commit activity
    Python 68 8 3 0 Updated Oct 28, 2024
  • MASTER Public

    This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price forecasting, which models the momentary and cross-time stock correlation and guide feature selection with market information.

    SJTU-DMTai/MASTER’s past year of commit activity
    Python 165 36 0 0 Updated Oct 22, 2024
  • SJTU-DMTai/awesome-rag’s past year of commit activity
    0 0 0 0 Updated Oct 17, 2024
  • awesome-ml-data-quality-papers Public

    Papers about training data quality management for ML models.

    SJTU-DMTai/awesome-ml-data-quality-papers’s past year of commit activity
    24 3 1 0 Updated Oct 16, 2024
  • Awesome-Large-Models-for-Time-Series Public

    Papers for LLM and foundation models for time series analytics

    SJTU-DMTai/Awesome-Large-Models-for-Time-Series’s past year of commit activity
    16 0 0 0 Updated Oct 15, 2024
  • SJTU-DMTai/Awesome-graph-based-ann’s past year of commit activity
    0 0 0 0 Updated Oct 9, 2024
  • Quant-Reading-List Public

    Papers for AI + quantitative investment

    SJTU-DMTai/Quant-Reading-List’s past year of commit activity
    82 8 0 0 Updated Sep 12, 2024
  • SJTU-DMTai/Data-Management-for-GNN-Training’s past year of commit activity
    8 0 0 0 Updated Sep 6, 2024
  • FeSAIL Public

    This is the official implementation of the IJCAI 2023 paper "Feature Staleness Aware Incremental Learning for CTR Prediction".

    SJTU-DMTai/FeSAIL’s past year of commit activity
    Python 0 0 0 0 Updated Sep 6, 2024
  • TAMIC Public

    This is the official implementation for our SDM 2022 paper "Time-aware Multi-interest Capsule Network for Sequential Recommendation".

    SJTU-DMTai/TAMIC’s past year of commit activity
    Python 0 0 0 0 Updated Sep 6, 2024

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