Leopold2333 / Bi-Mamba4TS
☆44Updated 2 weeks ago
Alternatives and similar repositories for Bi-Mamba4TS:
Users that are interested in Bi-Mamba4TS are comparing it to the libraries listed below
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆30Updated 5 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆51Updated last month
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆39Updated 4 months ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆34Updated this week
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆176Updated 7 months ago
- ☆42Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆90Updated 4 months ago
- The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting…☆151Updated last month
- Mamba for Multivariate Time Series Forecasting☆40Updated 6 months ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆86Updated 5 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆96Updated 2 months ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆165Updated 6 months ago
- ☆18Updated 7 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆93Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆82Updated 4 months ago
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆34Updated 2 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆31Updated last year
- ☆49Updated 2 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆89Updated 3 weeks ago
- ☆46Updated last month
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆32Updated 4 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆76Updated 2 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆158Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆168Updated 11 months ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆124Updated 10 months ago
- ☆45Updated 3 months ago
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆43Updated 2 years ago
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆31Updated 2 months ago