SJTU-DMTai / LIFT
The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
☆81Updated 3 months ago
Alternatives and similar repositories for LIFT:
Users that are interested in LIFT are comparing it to the libraries listed below
- ☆73Updated 6 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆90Updated 10 months ago
- Time Series Forecasting, Distribution Shift☆76Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆87Updated last month
- ☆65Updated 9 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆47Updated 3 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆86Updated 5 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆157Updated 2 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆72Updated this week
- ☆41Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆90Updated 3 months ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆32Updated 7 months ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆76Updated last year
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆105Updated 2 years ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆32Updated 3 months ago
- Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"☆27Updated 3 months ago
- [ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for diff…☆158Updated 5 months ago
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆57Updated 8 months ago
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆27Updated 3 months ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆79Updated 3 months ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆120Updated 9 months ago
- Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"☆48Updated last year
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆172Updated 2 months ago
- ☆40Updated 2 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆161Updated 10 months ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆77Updated 2 years ago
- ☆69Updated last year
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)☆84Updated 11 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆153Updated last year
- ☆29Updated 6 months ago