lss-1138 / SparseTSFLinks
[TPAMI 2025 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor Weiwei Lin (linww@scut.edu.cn), South China University of Technology; Pengcheng Laboratory.
☆221Updated 2 weeks ago
Alternatives and similar repositories for SparseTSF
Users that are interested in SparseTSF are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆192Updated 3 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆210Updated last week
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆232Updated last month
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆261Updated 2 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆183Updated 2 months ago
- ☆233Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆108Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆186Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆186Updated last year
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆344Updated last year
- [Under Review] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." Thi…☆135Updated last month
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆120Updated 2 years ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆90Updated 2 years ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆191Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆124Updated 2 months ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆114Updated 5 months ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆176Updated 3 months ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆362Updated last year
- Time Series Forecasting, Distribution Shift☆95Updated 2 years ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆88Updated 10 months ago
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆212Updated last year
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆229Updated last year
- ☆151Updated 8 months ago
- ☆144Updated 2 months ago
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆199Updated 7 months ago
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆184Updated 2 months ago
- An up-to-date list of time-series related papers in AI venues.☆421Updated last year
- A code implementation of new papers in the time series forecasting field.☆124Updated last year
- The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of …☆119Updated 6 months ago
- ☆107Updated 3 months ago