howard-hou / RWKV-TSLinks
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
☆120Updated 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:
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆205Updated last year
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆89Updated last year
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆128Updated 3 weeks ago
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆211Updated 11 months ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆188Updated 7 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆104Updated last year
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆94Updated 10 months ago
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆107Updated 11 months ago
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆85Updated 6 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆131Updated 5 months ago
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆53Updated last year
- ☆87Updated 9 months ago
- [TPAMI 2026 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k …☆249Updated last month
- The code of the CIKM'25 paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting"☆211Updated last month
- [ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This wor…☆84Updated 6 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆88Updated last year
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆217Updated 7 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆226Updated 4 months ago
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆48Updated 5 months ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆73Updated last year
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆239Updated 3 weeks ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆121Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Updated 2 years ago
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆117Updated last month
- The code for TFPS☆55Updated last year
- Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"☆45Updated 8 months ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆237Updated last year
- ☆78Updated 10 months ago
- ☆39Updated 10 months ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆244Updated last year