Pinned Repositories
Awesome-Large-Models-for-Time-Series
Papers for LLM and foundation models for time series analytics
awesome-ml-data-quality-papers
Papers about training data quality management for ML models.
Data-Management-for-GNN-Training
DoubleAdapt
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
LIFT
The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
MASTER
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.
qlib
This forked repo additionally includes our DoubleAdapt (KDD'23) and MASTER (AAAI'24) for re-experiment.
Quant-Reading-List
Papers for AI + quantitative investment
StockMixer
Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".
SUNNY-GNN
The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.
Data Management Technology and AI's Repositories
SJTU-DMTai/MASTER
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/qlib
This forked repo additionally includes our DoubleAdapt (KDD'23) and MASTER (AAAI'24) for re-experiment.
SJTU-DMTai/StockMixer
Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".
SJTU-DMTai/DoubleAdapt
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
SJTU-DMTai/Quant-Reading-List
Papers for AI + quantitative investment
SJTU-DMTai/LIFT
The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
SJTU-DMTai/awesome-ml-data-quality-papers
Papers about training data quality management for ML models.
SJTU-DMTai/Awesome-Large-Models-for-Time-Series
Papers for LLM and foundation models for time series analytics
SJTU-DMTai/SUNNY-GNN
The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.
SJTU-DMTai/Data-Management-for-GNN-Training
SJTU-DMTai/interpreters
SJTU-DMTai/RCL
This is the official implementation for the CIKM 2024 paper “Relative contrastive learning for sequential recommendation with similarity-based positive pair selection”.
SJTU-DMTai/AutoSrh
This is the official implementation for our TKDE paper "AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction".
SJTU-DMTai/Awesome-graph-based-ann
SJTU-DMTai/awesome-rag
SJTU-DMTai/EMA
This is the official implementation of the EMA framework for the TKDE paper "A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation".
SJTU-DMTai/FeSAIL
This is the official implementation of the IJCAI 2023 paper "Feature Staleness Aware Incremental Learning for CTR Prediction".
SJTU-DMTai/IMSR
This is the official implementation for our ICDE 2023 paper “Incremental Learning for Multi-interest Sequential Recommendation”.
SJTU-DMTai/RDIA
This repository is the official implementation of our ICLR2022 paper: "Resolving Training Biases via Influence-based Data Relabeling".
SJTU-DMTai/TAMIC
This is the official implementation for our SDM 2022 paper "Time-aware Multi-interest Capsule Network for Sequential Recommendation".