XiudingCai / MambaTS-pytorchLinks
Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
☆35Updated 8 months ago
Alternatives and similar repositories for MambaTS-pytorch
Users that are interested in MambaTS-pytorch are comparing it to the libraries listed below
Sorting:
- ☆56Updated 2 months ago
- ☆44Updated last year
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆47Updated 2 months ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆181Updated 10 months ago
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆54Updated 3 months ago
- WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting (AAAI-2025)☆41Updated 2 weeks ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆44Updated 2 years ago
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆33Updated 4 months ago
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆36Updated 4 months ago
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆51Updated last year
- ☆18Updated 11 months ago
- The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting…☆161Updated 3 months ago
- Mamba for Multivariate Time Series Forecasting☆47Updated last month
- ☆23Updated 5 months ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆26Updated 9 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆81Updated 5 months ago
- ☆55Updated 3 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆54Updated 3 months ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆49Updated 7 months ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆195Updated 8 months ago
- ☆52Updated 6 months ago
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆12Updated last year
- Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.☆43Updated 3 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆93Updated 6 months ago
- ☆24Updated 6 months ago
- Official implementation for the IJCAI'24 paper: SDformer☆21Updated 2 months ago
- ☆19Updated 9 months ago
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆46Updated 2 years ago
- ☆57Updated 4 months ago
- ☆27Updated 5 months ago