lunaaa95 / mou
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.
☆41Updated 2 weeks ago
Alternatives and similar repositories for mou:
Users that are interested in mou are comparing it to the libraries listed below
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆30Updated 2 months ago
- The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting…☆151Updated 3 weeks ago
- This is the official PyTorch implementation of the paper: TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Seri…☆56Updated this week
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆34Updated 2 months ago
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆29Updated 5 months ago
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆60Updated last month
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆84Updated 2 weeks ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆49Updated 3 weeks ago
- ☆12Updated 7 months ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆34Updated 8 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆91Updated 4 months ago
- ☆19Updated 2 months ago
- ☆48Updated last month
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆30Updated last year
- ☆42Updated last year
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆56Updated 4 months ago
- ☆43Updated last month
- PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [o…☆53Updated 2 months ago
- [ICLR 2024] STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction☆18Updated last year
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆15Updated 9 months ago
- ☆42Updated 3 months ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆37Updated 4 months ago
- ☆41Updated this week
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆42Updated 2 years ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆83Updated 4 months ago
- ☆52Updated last year
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆30Updated 4 months ago
- [NeurIPS2024] Attractor memory for long-term time series forecasting: A chaos perspective☆14Updated 3 months ago
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆21Updated 11 months ago