Data Management Technology and AI

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21 repositories

awesome-ml-data-quality-papers
Public
Papers about training data quality management for ML models.
machine-learning data-management data-quality data-profiling data-debugging data-valuation data-centric-ai ai4db db4ai
4•33•1•0•Updated Dec 24, 2024Dec 24, 2024
OnlineTSF
Public
Official implementation of "Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting" (KDD'25), a novel online time series forecasting framework.
0•4•0•0•Updated Dec 12, 2024Dec 12, 2024
qlib
Public
This forked repo additionally includes our DoubleAdapt (KDD'23) and MASTER (AAAI'24) for re-experiment.
Python
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MIT License
•2.7k•108•0•0•Updated Dec 12, 2024Dec 12, 2024
DoubleAdapt
Public
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
quantitative-finance concept-drift incremental-learning stock-prediction meta-learning distribution-shift kdd2023
Python
•13•87•0•0•Updated Dec 12, 2024Dec 12, 2024
awesome-rag
Public
0•0•0•0•Updated Dec 10, 2024Dec 10, 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.
Python
•39•197•1•0•Updated Dec 7, 2024Dec 7, 2024
LIFT
Public
The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
Python
•9•78•3•0•Updated Oct 28, 2024Oct 28, 2024
Awesome-Large-Models-for-Time-Series
Public
Papers for LLM and foundation models for time series analytics
0•20•0•0•Updated Oct 15, 2024Oct 15, 2024
Awesome-graph-based-ann
Public
0•2•0•0•Updated Oct 9, 2024Oct 9, 2024
Quant-Reading-List
Public
Papers for AI + quantitative investment
8•88•0•0•Updated Sep 12, 2024Sep 12, 2024
Data-Management-for-GNN-Training
Public
0•9•0•0•Updated Sep 6, 2024Sep 6, 2024
FeSAIL
Public
This is the official implementation of the IJCAI 2023 paper "Feature Staleness Aware Incremental Learning for CTR Prediction".
ctr-prediction incremental-learning
Python
•0•0•0•0•Updated Sep 6, 2024Sep 6, 2024
TAMIC
Public
This is the official implementation for our SDM 2022 paper "Time-aware Multi-interest Capsule Network for Sequential Recommendation".
sequential-recommendation time-aware multi-interest
Python
•0•0•0•0•Updated Sep 6, 2024Sep 6, 2024
EMA
Public
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".
multi-interest-sequential-recommendation
Python
•0•0•0•0•Updated Sep 6, 2024Sep 6, 2024
AutoSrh
Public
This is the official implementation for our TKDE paper "AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction".
Jupyter Notebook
•0•0•0•0•Updated Sep 4, 2024Sep 4, 2024
RDIA
Public
This repository is the official implementation of our ICLR2022 paper: "Resolving Training Biases via Influence-based Data Relabeling".
Python
•0•0•0•0•Updated Sep 4, 2024Sep 4, 2024
IMSR
Public
This is the official implementation for our ICDE 2023 paper “Incremental Learning for Multi-interest Sequential Recommendation”.
incremental-learning multi-interest-sequential-recommendation
Python
•0•0•1•0•Updated Aug 28, 2024Aug 28, 2024
RCL
Public
This is the official implementation for the CIKM 2024 paper “Relative contrastive learning for sequential recommendation with similarity-based positive pair selection”.
sequential-recommendation contrastive-learning
Python
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Apache License 2.0
•0•4•0•0•Updated Aug 28, 2024Aug 28, 2024
StockMixer
Public
Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".
Python
•32•142•8•0•Updated Mar 19, 2024Mar 19, 2024
SUNNY-GNN
Public
The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.
aaai interpretable-ai explainable-ai xai graph-representation-learning gnn aaai-2024 self-interpretability interpretable-gnn explainabale-gnn
Python
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GNU Affero General Public License v3.0
•2•11•1•0•Updated Jan 29, 2024Jan 29, 2024
interpreters
Public
Python
•2•5•0•0•Updated Oct 13, 2023Oct 13, 2023