Repositories list

• OnlineTSF-2026

  Public
  Python

  •00 forks•00 stars•00 issues•00 pull requests•Updated Oct 13, 2026Oct 13, 2026

• dppbench

  Public
  A Benchmark of Automatic Training Data Preparation Pipeline Orchestration of ML Applications

  Python

  •

  MIT License

  •00 forks•00 stars•00 issues•00 pull requests•Updated Oct 13, 2026Oct 13, 2026

• rl-algorithms-notes

  Public
  00 forks•11 star•00 issues•00 pull requests•Updated Aug 7, 2026Aug 7, 2026

• LCATS

  Public
  Python

  •00 forks•22 stars•00 issues•00 pull requests•Updated Jul 31, 2026Jul 31, 2026

• Awesome-Data-Agent-Papers

  Public
  📚 A curated & auto-maintained reading list on LLM-based Data Agents — data preparation, NL2SQL, table reasoning, data analysis, data science & AutoML agents, da…

  data-scienceawesomedata-analysis+ 11

  data-scienceawesomedata-analysisreading-listawesome-listtext-to-sqlnl2sqlpaper-listlarge-language-modelsllm+ 4

  Python

  •44 forks•6161 stars•55 issues•00 pull requests•Updated Jul 31, 2026Jul 31, 2026

• financial-report-agent

  Public
  Python

  •00 forks•22 stars•00 issues•11 pull request•Updated Jul 15, 2026Jul 15, 2026

• awesome-ml-data-quality-papers

  Public
  Papers about training data quality management for ML models.

  machine-learningdata-managementdata-quality+ 6

  machine-learningdata-managementdata-qualitydata-profilingdata-debuggingdata-valuationdata-centric-aiai4dbdb4ai

  77 forks•131131 stars•00 issues•00 pull requests•Updated Jun 13, 2026Jun 13, 2026

• DeMix

  Public
  Python

  •00 forks•33 stars•11 issue•00 pull requests•Updated Jun 2, 2026Jun 2, 2026

• HEXA

  Public
  Implementation for vldb paper, HEXA: A Disjoint-Subgraph-Based Indexing Framework for Approximate Nearest Neighbor Search at Billion Scale

  Cuda

  •00 forks•00 stars•00 issues•00 pull requests•Updated May 6, 2026May 6, 2026

• Paper-Lists

  Public
  A centralized repository for group members to maintain their personal paper reading lists.

  11 fork•11 star•00 issues•00 pull requests•Updated Apr 12, 2026Apr 12, 2026

• OnlineTSF

  Public
  Official implementation of "Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting" (KDD'25), a novel online time series forecastin…

  Python

  •1414 forks•6666 stars•11 issue•00 pull requests•Updated Dec 25, 2025Dec 25, 2025

• RAG-CSM

  Public
  Implementation of "Influence Guided Context Selection for Effective Retrieval-Augmented Generation" (NeurIPS 2025)

  Python

  •11 fork•1111 stars•11 issue•00 pull requests•Updated Dec 6, 2025Dec 6, 2025

• Prune-then-Finetune

  Public
  Official implementation of "Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning" (NeurIPS'25)

  Python

  •

  Apache License 2.0

  •22 forks•1212 stars•11 issue•00 pull requests•Updated Nov 28, 2025Nov 28, 2025

• awesome-rag

  Public
  00 forks•1515 stars•00 issues•00 pull requests•Updated Oct 11, 2025Oct 11, 2025

• 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 …

  Python

  •

  MIT License

  •127127 forks•543543 stars•00 issues•00 pull requests•Updated Jun 26, 2025Jun 26, 2025

• 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-financeconcept-driftincremental-learning+ 4

  quantitative-financeconcept-driftincremental-learningstock-predictionmeta-learningdistribution-shiftkdd2023

  Python

  •2222 forks•118118 stars•00 issues•00 pull requests•Updated Dec 25, 2024Dec 25, 2024

• qlib

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

  Python

  •

  MIT License

  •7.8k7.8k forks•148148 stars•00 issues•00 pull requests•Updated Dec 12, 2024Dec 12, 2024

• LIFT

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

  Python

  •1515 forks•9696 stars•33 issues•00 pull requests•Updated Oct 28, 2024Oct 28, 2024

• Awesome-Large-Models-for-Time-Series

  Public
  Papers for LLM and foundation models for time series analytics

  11 fork•4747 stars•00 issues•00 pull requests•Updated Oct 15, 2024Oct 15, 2024

• Awesome-graph-based-ann

  Public
  00 forks•1010 stars•00 issues•00 pull requests•Updated Oct 9, 2024Oct 9, 2024

• Quant-Reading-List

  Public
  Papers for AI + quantitative investment

  1616 forks•144144 stars•00 issues•00 pull requests•Updated Sep 12, 2024Sep 12, 2024

• Data-Management-for-GNN-Training

  Public
  11 fork•1111 stars•00 issues•00 pull requests•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-predictionincremental-learning

  ctr-predictionincremental-learning

  Python

  •00 forks•00 stars•00 issues•00 pull requests•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-recommendationtime-awaremulti-interest

  sequential-recommendationtime-awaremulti-interest

  Python

  •00 forks•00 stars•00 issues•00 pull requests•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 Recommend…

  multi-interest-sequential-recommendation

  multi-interest-sequential-recommendation

  Python

  •00 forks•22 stars•00 issues•00 pull requests•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

  •00 forks•11 star•00 issues•00 pull requests•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

  •00 forks•00 stars•00 issues•00 pull requests•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-learningmulti-interest-sequential-recommendation

  incremental-learningmulti-interest-sequential-recommendation

  Python

  •00 forks•11 star•11 issue•00 pull requests•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 sel…

  sequential-recommendationcontrastive-learning

  sequential-recommendationcontrastive-learning

  Python

  •

  Apache License 2.0

  •00 forks•66 stars•11 issue•00 pull requests•Updated Aug 28, 2024Aug 28, 2024

• StockCL

  Public
  This is the code for StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts, DASFAA 2024.

  Python

  •33 forks•88 stars•11 issue•00 pull requests•Updated Jul 20, 2024Jul 20, 2024