Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
☆135Mar 23, 2024Updated 2 years ago
Alternatives and similar repositories for SAN
Users that are interested in SAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Time Series Forecasting, Distribution Shift☆106Jul 11, 2023Updated 3 years ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- [KDD'24] Ofiicial implementation of paper "Generative Pretrained Hierarchical Transformer for Time Series Forecasting"☆38Jul 3, 2025Updated last year
- Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation (AAAI 2025)☆50Mar 7, 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
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆198Mar 26, 2024Updated 2 years ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆87Feb 20, 2025Updated last year
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆241Jul 1, 2024Updated 2 years ago
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆16May 3, 2025Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆100Sep 13, 2023Updated 2 years ago
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆144Oct 22, 2024Updated last year
- ☆72Nov 26, 2024Updated last year
- ☆19Mar 18, 2026Updated 4 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆106Nov 10, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆42Jan 16, 2025Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆82Sep 4, 2024Updated last year
- ☆112Jun 11, 2025Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆136May 17, 2026Updated 2 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆96Oct 28, 2024Updated last year
- Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆147May 29, 2024Updated 2 years ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆238Sep 2, 2025Updated 11 months ago
- Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts☆70Aug 13, 2024Updated 2 years ago
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆66Oct 28, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆220Feb 11, 2024Updated 2 years ago
- Official implementation of "TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting" (ICML 2025)☆216May 16, 2025Updated last year
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆432Sep 13, 2024Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆219Jul 27, 2024Updated 2 years ago
- [NeurIPS 2024 Spotlight] Official Code of the paper "Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Foreca…☆16Dec 24, 2024Updated last year
- [TMLR 2025] This is the official code of our Paper "DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series…☆40Dec 20, 2025Updated 7 months ago
- ☆147Jun 13, 2025Updated last year
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆208Jun 27, 2024Updated 2 years ago
- ☆138Feb 7, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆127Aug 16, 2024Updated last year
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆236Jan 23, 2026Updated 6 months ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆563Aug 19, 2024Updated last year
- Official implementation of "DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting" (NeurIPS 2024)☆26Oct 28, 2024Updated last year
- Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".☆93Mar 29, 2024Updated 2 years ago
- ☆54Nov 27, 2025Updated 8 months ago
- ☆69Dec 30, 2025Updated 7 months ago