☆254Aug 14, 2024Updated last year
Alternatives and similar repositories for pathformer
Users that are interested in pathformer are comparing it to the libraries listed below
Sorting:
- ☆137Feb 7, 2023Updated 3 years ago
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆41Jan 16, 2025Updated last year
- ☆54Jun 13, 2023Updated 2 years ago
- ☆98Feb 21, 2024Updated 2 years ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆210Jul 27, 2024Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆206Feb 11, 2024Updated 2 years ago
- ☆31Jul 1, 2024Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆74Sep 4, 2024Updated last year
- ☆110Jun 11, 2025Updated 8 months ago
- ☆25Aug 19, 2024Updated last year
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆123Aug 16, 2024Updated last year
- ☆38Dec 25, 2024Updated last year
- ☆21Jul 1, 2024Updated last year
- 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 implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆143May 29, 2024Updated last year
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆122Mar 19, 2025Updated 11 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆196Mar 26, 2024Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆251Sep 15, 2024Updated last year
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆408Apr 2, 2024Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆105Nov 10, 2024Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆90Oct 28, 2024Updated last year
- ☆789Aug 16, 2023Updated 2 years ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,452Aug 12, 2024Updated last year
- Code for KDD 2025 paper "FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification"☆31Jun 20, 2025Updated 8 months ago
- Official implementation for "CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting" (I…☆26May 6, 2025Updated 9 months ago
- ☆47Dec 16, 2023Updated 2 years ago
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆55Oct 2, 2024Updated last year
- [KDD 2025 Most Influential Paper] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆255Dec 11, 2025Updated 2 months ago
- ☆70Oct 7, 2025Updated 4 months ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆190Jun 5, 2025Updated 8 months ago
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆56Jan 9, 2024Updated 2 years ago
- ☆40Nov 18, 2024Updated last year
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆36Sep 7, 2025Updated 5 months ago
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated last year
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆212Jun 27, 2024Updated last year
- About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚☆154Sep 9, 2023Updated 2 years ago
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Jan 8, 2025Updated last year
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆2,015Jul 17, 2025Updated 7 months ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆78Oct 30, 2024Updated last year