Code & Resource

Source Code (NeurIPS, ICML, ICLR, // KDD, AAAI, // TPAMI, etc.):

• LLM, LVLM, Diffusion, and Applications (Time Series, Finance, Education)

  • Time-LLM (ICLR'24): https://github.com/KimMeen/Time-LLM

  • LLaVA-Align (arXiv'24): https://github.com/yfzhang114/llava-align 

  • DiffSTG (SIGSPATIAL'23): https://github.com/wenhaomin/DiffSTG 

  • DiffLoad (arXiv'23): https://github.com/phet1999/DiffLoad 

  • WeaverBird (arXiv'23): https://github.com/ant-research/fin_domain_llm   

  • Large (Language) Models for Time Series & Spatio-Temporal Data (LM4TS & LM4STD) [GitHub link] 

  • Diffusion Models for Time Series & Spatio-Temporal Data (Diff4TS & Diff4STD) [GitHub link] 

• Time Series + Transformer/SSL

  • Pathformer (ICLR'24): https://github.com/decisionintelligence/pathformer 

  • CARD (ICLR'24): https://github.com/wxie9/CARD

  • AirFormer (AAAI'23): https://github.com/yoshall/AirFormer 

  • FEDformer (ICML’22): https://github.com/DAMO-DI-ML/ICML2022-FEDformer

  • Quatformer (KDD’22): https://github.com/DAMO-DI-ML/KDD2022-Quatformer

  • SSL4TS (TPAMI'24): https://github.com/qingsongedu/Awesome-SSL4TS 

  • Transformers for Time Series (Trans4TS) [GitHub link] (2k+ stars)

• Other Time Series Forecasting, Spatio-Temporal Forecasting

  • HimNet (KDD'24): https://github.com/xdzhelheim/himnet 

  • RobustTSF (ICLR'24): https://github.com/haochenglouis/RobustTSF

  • OneNet (NeurIPS’23): https://github.com/yfzhang114/OneNet 

  • GlobalModeling (TSG'23): https://github.com/mihagrabner/GlobalModelingFramework

  • SaDI (ICASSP'23): https://github.com/DAMO-DI-ML/ICASSP2023-SaDI 

  • FiLM (NeurIPS’22): https://github.com/DAMO-DI-ML/NeurIPS2022-FiLM =

• Time Series Anomaly Detection

  • DCdetector (KDD'23): https://github.com/DAMO-DI-ML/KDD2023-DCdetector 

  • TFAD (CIKM’22): https://github.com/DAMO-DI-ML/CIKM22-TFAD

• Time Series + XAI

  • ContraLSP (ICLR'24): https://github.com/zichuan-liu/ContraLSP 

• TPP, Event Prediction, Recommendation

  • EasyTPP (ICLR'24): https://github.com/ant-research/easytemporalpointprocess 

  • CaseQ (NeurIPS’22): https://github.com/chr26195/caseq  

• Anomaly Detection

  • ADGym (NeurIPS’23): https://github.com/Minqi824/ADGym 

• GNN

  • LEBED (ICLR’24): https://github.com/Amanda-Zheng/LEBED 

Repo (AI for Time Series):

• Transformers for Time Series (Trans4TS) [GitHub link] (2k+ stars)

  • A professionally curated list of awesome resources (paper, code, data, etc.) on Transformers for Time Series.

• Large (Language) Models for Time Series & Spatio-Temporal Data (LM4TS & LM4STD) [GitHub link] 

  • A professionally curated list of awesome resources (paper, code, data, etc.) on Large (Language) Models for Time Series and Spatio-Temporal Data.

• Self-Supervised Learning for Time Series (SSL4TS) [GitHub link] 

  • A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series.

• Graph Neural Networks for Time Series (GNN4TS) [GitHub link] 

  • A professionally curated list of awesome resources (paper, code, data, etc.) on Graph Neural Networks for Time Series.

• Diffusion Models for Time Series & Spatio-Temporal Data (Diff4TS & Diff4STD) [GitHub link] 

  • A professionally curated list of awesome resources (paper, code, data, etc.) on Diffusion Models for Time Series & Spatio-Temporal Data.

• Imputation for Time Series (Impu4TS)  [GitHub link] 

  • A professionally curated list of awesome resources (paper, code, data, etc.) on Imputation for Time Series.

• Papers, Tutorials, and Surveys on AI for Time Series (AI4TS) [GitHub link] (1k+ stars)

  • A professionally curated list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Repo (AI for Education):

• AI for Education [GitHub link] 

About Research:

• Richard Hamming, "You and Your Research'' [link]