The code of CIKM'25 paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting"
☆220Nov 16, 2025Updated 3 months ago
Alternatives and similar repositories for SST
Users that are interested in SST are comparing it to the libraries listed below
Sorting:
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆212Jul 27, 2024Updated last year
- Code for "Is Mamba Effective for Time Series Forecasting?"☆372May 20, 2025Updated 9 months ago
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆46Jan 6, 2025Updated last year
- Mamba for Multivariate Time Series Forecasting☆85May 2, 2025Updated 10 months ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- [ICLR 2024] Official code of RobustTSF☆21Feb 21, 2024Updated 2 years ago
- ☆25Aug 19, 2024Updated last year
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆58Oct 2, 2024Updated last year
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆49Aug 7, 2025Updated 7 months ago
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆140Oct 22, 2024Updated last year
- Source code for "Scalable Transformer for High Dimensional Multivariate Time Series Forecasting" (Accepted by CIKM-24)☆19Jan 13, 2025Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆78Oct 30, 2024Updated last year
- ☆78Feb 14, 2025Updated last year
- ☆71Oct 7, 2025Updated 5 months ago
- The code for TFPS☆63Nov 8, 2024Updated last year
- Code implementation of the paper "WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting" (ICML 2025)☆29Feb 12, 2025Updated last year
- Simba☆219Mar 24, 2024Updated last year
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated 10 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆96Dec 29, 2024Updated last year
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Jan 8, 2025Updated last year
- ☆13Aug 8, 2024Updated last year
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆122Mar 19, 2025Updated 11 months ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆252Sep 15, 2024Updated last year
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆14Mar 6, 2024Updated 2 years ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆132Jul 15, 2025Updated 7 months ago
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆279Jul 7, 2025Updated 8 months ago
- MambaStock: Selective state space model for stock prediction☆185Mar 5, 2024Updated 2 years ago
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Nov 19, 2025Updated 3 months ago
- ☆110Jun 11, 2025Updated 8 months ago
- ☆17Feb 1, 2026Updated last month
- ☆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
- Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆144May 29, 2024Updated last year
- [KDD'24] Ofiicial implementation of paper "Generative Pretrained Hierarchical Transformer for Time Series Forecasting"☆37Jul 3, 2025Updated 8 months ago
- Contains the implementation of the EDAIN and EDAIN-KL methods proposed in our paper. The research was also part of the thesis I wrote as …☆16Feb 19, 2024Updated 2 years ago
- ☆47Dec 16, 2023Updated 2 years ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆90Oct 28, 2024Updated last year
- ☆41Feb 4, 2026Updated last month
- Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations☆30Oct 26, 2024Updated last year