Code implementation of the paper "WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting" (ICML 2025)
☆29Feb 12, 2025Updated last year
Alternatives and similar repositories for ARMA-Attention
Users that are interested in ARMA-Attention are comparing it to the libraries listed below
Sorting:
- Source code for "Scalable Transformer for High Dimensional Multivariate Time Series Forecasting" (Accepted by CIKM-24)☆19Jan 13, 2025Updated last year
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆14Apr 27, 2024Updated last year
- ☆71Oct 7, 2025Updated 5 months ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆20Oct 23, 2024Updated last year
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Jan 8, 2025Updated last year
- Code and logs for Paper:Revisiting Attention for Multivariate Time Series Forecasting☆25Jul 29, 2024Updated last year
- ☆23Nov 29, 2024Updated last year
- ☆78Feb 14, 2025Updated last year
- ☆25Aug 19, 2024Updated last year
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆82Oct 29, 2024Updated last year
- ☆13Aug 8, 2024Updated last year
- [NeurIPS 2024] Official implementation of the paper "Are Self-Attentions Effective for Time Series Forecasting?"☆63Dec 31, 2024Updated last year
- An unofficial, simple pytorch implementation of the paper "C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time…☆18Jul 19, 2024Updated last year
- ☆16Jan 20, 2025Updated last year
- ☆17Jan 17, 2025Updated last year
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆14Mar 6, 2024Updated 2 years ago
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆56Jan 9, 2024Updated 2 years ago
- [IEEE TETCI 2025] Official repository of the PETformer paper: "PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Tran…☆13Dec 6, 2024Updated last year
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆36Sep 7, 2025Updated 6 months ago
- [TMLR 2025] This is the official code of our Paper "DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series…☆40Dec 20, 2025Updated 2 months ago
- Official code repository for KDD'24 paper "Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shi…☆37Jun 19, 2025Updated 8 months ago
- ☆40Nov 18, 2024Updated last year
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆122Mar 19, 2025Updated 11 months ago
- Code release of paper "MLGN: Multi-Scale Local-Global Feature Learning Network for Long-term Series Forecasting" 💚☆16May 31, 2024Updated last year
- Official implementation of paper: LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Serie…☆18Dec 19, 2025Updated 2 months ago
- ☆67Nov 26, 2024Updated last year
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Nov 19, 2025Updated 3 months ago
- ☆13Nov 13, 2024Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆78Oct 30, 2024Updated last year
- Boosted Hybrids of ensemble gradient algorithm for the long-term time series forecasting (LTSF)☆17Feb 28, 2025Updated last year
- ☆38Dec 25, 2024Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆100Jun 27, 2025Updated 8 months ago
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆137Dec 17, 2025Updated 2 months ago
- [KDD'24] Ofiicial implementation of paper "Generative Pretrained Hierarchical Transformer for Time Series Forecasting"☆37Jul 3, 2025Updated 8 months ago
- About Code release for "Dynamic adaptive graph convolutional transformer with broad learning system for multi-dimensional chaotic time se…☆23Apr 16, 2025Updated 10 months ago
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated last year
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆23Sep 2, 2025Updated 6 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆129Mar 23, 2024Updated last year