howard-hou / RWKV-TS
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
☆93Updated 6 months ago
Alternatives and similar repositories for RWKV-TS:
Users that are interested in RWKV-TS are comparing it to the libraries listed below
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆170Updated 6 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆72Updated this week
- FITS: Frequency Interpolation Time Series Analysis Baseline☆157Updated 2 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆90Updated 10 months ago
- Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.☆41Updated 5 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆81Updated 3 months ago
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆172Updated 2 months ago
- [ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for diff…☆158Updated 5 months ago
- ☆40Updated 4 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆87Updated last month
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆148Updated 2 months ago
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆162Updated 3 weeks ago
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆51Updated last week
- The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting…☆146Updated 3 months ago
- Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"☆27Updated 3 months ago
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆146Updated last week
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆161Updated 10 months ago
- PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [o…☆44Updated 2 months ago
- ☆65Updated 9 months ago
- [KDD'24] Ofiicial implementation of paper "Generative Pretrained Hierarchical Transformer for Time Series Forecasting"☆31Updated 8 months ago
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆129Updated 2 months ago
- Kolmogorov Arnold Network (KAN) for Time Series Forecasting (TSF)☆85Updated last week
- ☆70Updated last month
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆90Updated 3 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆70Updated last month
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆115Updated 3 weeks ago
- Time Series Forecasting, Distribution Shift☆76Updated last year
- [ICML2024] Official repo for paper "Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning"☆59Updated 9 months ago
- Code for "Is Mamba Effective for Time Series Forecasting?"☆242Updated last month
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆251Updated 10 months ago