ACAT-SCUT / PETformerLinks
[IEEE TETCI 2025] Official repository of the PETformer paper: "PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer". This work is developed by the Lab of Professor Weiwei Lin (linww@scut.edu.cn), South China University of Technology; Pengcheng Laboratory.
☆13Updated 8 months ago
Alternatives and similar repositories for PETformer
Users that are interested in PETformer are comparing it to the libraries listed below
Sorting:
- Mamba for Multivariate Time Series Forecasting☆58Updated 3 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆93Updated last year
- ☆62Updated 9 months ago
- ☆46Updated last year
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆12Updated last year
- Official implementation: Population Aware Diffusion for Time Series Generation (AAAI-25)☆11Updated 4 months ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆48Updated 2 years ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆94Updated 9 months ago
- Code release of paper "FAITH: Frequency-domain Attention In Two Horizons for Long-term time series forecasting"☆16Updated 2 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆108Updated last year
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆38Updated 7 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆32Updated last year
- ☆90Updated last year
- ☆61Updated this week
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆186Updated last year
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆27Updated last year
- ☆23Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆90Updated last year
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆54Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆183Updated last year
- ☆11Updated 9 months ago
- ☆21Updated 9 months ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆60Updated 10 months ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆120Updated 2 years ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆66Updated 5 months ago
- Code for the paper Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting☆25Updated last year
- ☆22Updated 3 months ago
- [NeurIPS2024] Attractor memory for long-term time series forecasting: A chaos perspective☆21Updated 9 months ago
- ☆61Updated 6 months ago
- Improving Time Series Forecasting by Progressively Learning Residuals☆64Updated 7 months ago