SJTU-DMTai / LIFT
The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
☆82Updated 4 months ago
Alternatives and similar repositories for LIFT:
Users that are interested in LIFT are comparing it to the libraries listed below
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆93Updated last year
- ☆81Updated 3 weeks ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆39Updated 4 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆87Updated 6 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆51Updated last month
- Time Series Forecasting, Distribution Shift☆77Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆96Updated 2 months ago
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆57Updated 9 months ago
- ☆67Updated 10 months ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆79Updated last year
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆108Updated 2 years ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆34Updated this week
- ☆42Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆162Updated 3 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆90Updated 4 months ago
- Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"☆48Updated last year
- ☆49Updated 2 months ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆124Updated 10 months ago
- Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"☆28Updated 5 months ago
- ☆45Updated 3 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆158Updated last year
- ☆26Updated 5 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆89Updated 3 weeks ago
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆173Updated 3 months ago
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆34Updated 2 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆31Updated last year
- ☆78Updated last year
- ☆91Updated 4 months ago
- Implementation of RevIN is based on TF2.Keras and PyTorch.☆26Updated last year
- PyTorch implementation of ESG☆77Updated 2 years ago