howard-hou / RWKV-TSView external linksLinks
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
☆122Aug 16, 2024Updated last year
Alternatives and similar repositories for RWKV-TS
Users that are interested in RWKV-TS are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Official code of RobustTSF☆21Feb 21, 2024Updated last year
- ☆24Aug 19, 2024Updated last year
- [TMLR 2025] This is the official code of our Paper "DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series…☆39Dec 20, 2025Updated last month
- ☆38Dec 25, 2024Updated last year
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆277Jul 7, 2025Updated 7 months ago
- Source code for "Scalable Transformer for High Dimensional Multivariate Time Series Forecasting" (Accepted by CIKM-24)☆19Jan 13, 2025Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆210Jul 27, 2024Updated last year
- ☆70Oct 7, 2025Updated 4 months ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆35Sep 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
- Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆142May 29, 2024Updated last year
- [ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This wor…☆89Jan 23, 2026Updated 3 weeks ago
- Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting☆14Mar 6, 2024Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆93Jun 27, 2025Updated 7 months ago
- ☆47Dec 16, 2023Updated 2 years ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆127Mar 23, 2024Updated last year
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆135Dec 17, 2025Updated last month
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆14Mar 6, 2024Updated last year
- Code and logs for Paper：Revisiting Attention for Multivariate Time Series Forecasting☆25Jul 29, 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
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆93Dec 29, 2024Updated last year
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆56Jan 9, 2024Updated 2 years ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆37Oct 12, 2023Updated 2 years ago
- ☆15Jul 25, 2023Updated 2 years ago
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆81Oct 29, 2024Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆96Aug 26, 2024Updated last year
- Official code repository for KDD'24 paper "Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shi…☆37Jun 19, 2025Updated 7 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆206Feb 11, 2024Updated 2 years ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Mar 28, 2024Updated last year
- ☆110Jun 11, 2025Updated 8 months ago
- ☆26Apr 28, 2024Updated last year
- Code implementation of the paper "WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting" (ICML 2025)☆28Feb 12, 2025Updated 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
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Jan 8, 2025Updated last year
- ☆78Feb 14, 2025Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆250Sep 15, 2024Updated last year
- ☆18Oct 16, 2025Updated 3 months ago
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆20Oct 23, 2024Updated last year