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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.
- 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.
- 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.
- 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.
- SJTU-DMTai/Prune-then-Finetune
SJTU-DMTai/Prune-then-Finetune PublicOfficial implementation of "Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning" (NeurIPS'25)
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