emadeldeen24 / TSLANetLinks
[ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
☆195Updated 8 months ago
Alternatives and similar repositories for TSLANet
Users that are interested in TSLANet are comparing it to the libraries listed below
Sorting:
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆302Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆179Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆93Updated 6 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆172Updated last year
- The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting…☆161Updated 3 months ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆165Updated 5 months ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆181Updated 10 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆186Updated last month
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆122Updated 7 months ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆117Updated 2 years ago
- ☆219Updated 9 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆117Updated 4 months ago
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆172Updated 2 weeks ago
- ☆91Updated 3 months ago
- ☆44Updated last year
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆81Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆130Updated last year
- This is a PyTorch implementation of ConvTran☆161Updated 2 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆86Updated 7 months ago
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆51Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆100Updated last year
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆138Updated 3 weeks ago
- A code implementation of new papers in the time series forecasting field.☆122Updated last year
- ☆99Updated 7 months ago
- [Under Review] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." Thi…☆130Updated 7 months ago
- Mamba for Multivariate Time Series Forecasting☆48Updated last month
- About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚☆136Updated last year
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆207Updated 2 weeks ago
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆35Updated 8 months ago
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆46Updated 2 years ago