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SJTU-DMTai/LIFT
SJTU-DMTai/LIFT PublicThe official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
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SJTU-DMTai/DoubleAdapt
SJTU-DMTai/DoubleAdapt PublicThe official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
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SJTU-DMTai/qlib
SJTU-DMTai/qlib PublicForked from microsoft/qlib
This forked repo additionally includes our DoubleAdapt (KDD'23) and MASTER (AAAI'24) for re-experiment.
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SJTU-DMTai/Quant-Reading-List
SJTU-DMTai/Quant-Reading-List PublicPapers for AI + quantitative investment
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SJTU-DMTai/Awesome-Large-Models-for-Time-Series
SJTU-DMTai/Awesome-Large-Models-for-Time-Series PublicPapers for LLM and foundation models for time series analytics
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SJTU-DMTai/OnlineTSF
SJTU-DMTai/OnlineTSF PublicOfficial implementation of "Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting" (KDD'25), a novel online time series forecasting framework.
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