for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you very much xiyuanzh for most of the implementation of the code!
☆38Apr 17, 2023Updated 2 years ago
Alternatives and similar repositories for TDformer
Users that are interested in TDformer are comparing it to the libraries listed below
Sorting:
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆14Mar 6, 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
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆45Feb 17, 2023Updated 3 years ago
- ☆47Dec 16, 2023Updated 2 years ago
- [NeurIPS 2025 Spotlight] Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective☆47Jan 6, 2026Updated 2 months ago
- ☆54Jun 13, 2023Updated 2 years ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆80Feb 20, 2025Updated last year
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆14Apr 27, 2024Updated last year
- [Applied Intelligence] Principal Graph Embedding Convolutional Recurrent Network for Traffic Flow Prediction☆14May 7, 2022Updated 3 years ago
- The official code of the paper "MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series" [ICML 2024].☆14Mar 24, 2025Updated 11 months ago
- ☆26Feb 28, 2025Updated last year
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆122Mar 19, 2025Updated 11 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆105Nov 10, 2024Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆97Jun 27, 2025Updated 8 months ago
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Jan 8, 2025Updated last year
- Official implementation of "DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting" (NeurIPS 2024)☆21Oct 28, 2024Updated last year
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated last year
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆46Jan 6, 2025Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆228Sep 2, 2025Updated 6 months ago
- Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting☆14Mar 6, 2024Updated 2 years ago
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆49Aug 7, 2025Updated 6 months ago
- ☆42Jun 7, 2023Updated 2 years ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆190Jun 5, 2025Updated 9 months ago
- DBPM is a simple algorithm designed as a lightweight plug-in without learnable parameters to enhance the performance of time series contr…☆17Mar 8, 2024Updated last year
- Code release of paper "FAITH: Frequency-domain Attention In Two Horizons for Long-term time series forecasting"☆18Jun 20, 2025Updated 8 months ago
- ☆21Jul 1, 2024Updated last year
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆128Feb 11, 2023Updated 3 years ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆207Feb 11, 2024Updated 2 years ago
- ☆24Oct 15, 2024Updated last year
- ☆13Feb 21, 2025Updated last year
- Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆144May 29, 2024Updated last year
- About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚☆154Sep 9, 2023Updated 2 years ago
- ☆23Nov 29, 2024Updated last year
- ☆21Jul 3, 2023Updated 2 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆111Mar 18, 2025Updated 11 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆96Aug 26, 2024Updated last year
- ☆23Jun 21, 2024Updated last year
- Official implementation of "WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting" (ICASSP 2024)☆53Mar 13, 2024Updated last year
- TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting☆27May 11, 2024Updated last year