Secilia-Cxy / SOFTSLinks
Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.
☆277Updated 6 months ago
Alternatives and similar repositories for SOFTS
Users that are interested in SOFTS are comparing it to the libraries listed below
Sorting:
- FITS: Frequency Interpolation Time Series Analysis Baseline☆227Updated 5 months ago
- [TPAMI 2026 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k …☆254Updated last week
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆220Updated last week
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆190Updated 7 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆132Updated 6 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆247Updated last month
- [IEEE IoT-J 2026] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." …☆140Updated last month
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆257Updated 6 months ago
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆212Updated last year
- ☆252Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆124Updated last year
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆405Updated last year
- Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)☆440Updated last year
- A code implementation of new papers in the time series forecasting field.☆125Updated 2 years ago
- An up-to-date list of time-series related papers in AI venues.☆431Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Updated 2 years ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆401Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆250Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆194Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆209Updated last year
- a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…☆229Updated 3 weeks ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆206Updated last year
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆239Updated last year
- ProbTS is a benchmarking toolkit for time series forecasting.☆198Updated last week
- [AAAI 2025] Official implementation of "xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition"☆108Updated 9 months ago
- ☆97Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆96Updated last year
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆202Updated 7 months ago
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆217Updated last year
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆242Updated 6 months ago