MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
☆242Jul 21, 2025Updated 7 months ago
Alternatives and similar repositories for MTS-Mixers
Users that are interested in MTS-Mixers are comparing it to the libraries listed below
Sorting:
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Sep 13, 2023Updated 2 years ago
- ☆137Feb 7, 2023Updated 3 years ago
- Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting☆14Mar 6, 2024Updated last year
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆128Feb 11, 2023Updated 3 years ago
- ☆25Aug 19, 2024Updated last year
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆59Sep 3, 2025Updated 5 months ago
- ☆12Apr 19, 2024Updated last year
- ☆42Jun 7, 2023Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆74Sep 4, 2024Updated last year
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆557Aug 19, 2024Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆96Aug 26, 2024Updated last year
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆406Sep 13, 2024Updated last year
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆277Jul 7, 2025Updated 7 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆95Dec 29, 2024Updated last year
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Nov 19, 2025Updated 3 months ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆668Jul 12, 2023Updated 2 years ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆207Feb 11, 2024Updated 2 years ago
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,424Jan 27, 2024Updated 2 years ago
- Code implementation of the paper "WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting" (ICML 2025)☆29Feb 12, 2025Updated last year
- This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction …☆3,089Jan 29, 2026Updated last month
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated last year
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated 9 months ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆239Jul 1, 2024Updated last year
- Resources about time series forecasting and deep learning.☆770Feb 12, 2026Updated 2 weeks ago
- The repo for reproducing the main results in TSMixer: An all-MLP Architecture for Time Series Forecasting.☆10Jun 15, 2023Updated 2 years ago
- ☆13Aug 8, 2024Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆78Oct 30, 2024Updated last year
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,452Aug 12, 2024Updated last year
- ☆18Sep 4, 2023Updated 2 years ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆196Mar 26, 2024Updated last year
- ☆70Oct 7, 2025Updated 4 months ago
- PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting☆306May 10, 2024Updated last year
- ☆123Nov 6, 2024Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆132Jul 15, 2025Updated 7 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆228Sep 2, 2025Updated 6 months ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Mar 3, 2025Updated 11 months ago
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆45Feb 17, 2023Updated 3 years ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆211Jul 27, 2024Updated last year
- [IEEE IoT-J 2026] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." …☆140Feb 23, 2026Updated last week