SJTU-DMTai / LIFTLinks
The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
☆86Updated 7 months ago
Alternatives and similar repositories for LIFT
Users that are interested in LIFT are comparing it to the libraries listed below
Sorting:
- ☆91Updated 3 months ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆47Updated 2 months ago
- Time Series Forecasting, Distribution Shift☆86Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆49Updated 7 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆100Updated last year
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆54Updated 3 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆92Updated 9 months ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆100Updated last month
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆117Updated 4 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆186Updated last month
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆83Updated last year
- Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"☆48Updated last year
- ☆35Updated 10 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆93Updated 6 months ago
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆34Updated last week
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆117Updated 2 years ago
- ☆47Updated 2 years ago
- ☆70Updated last year
- [ICML 2025] Official PyTorch implementation of the paper: TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Seri…☆70Updated 3 weeks ago
- PyTorch implementation of ESG☆83Updated 2 years ago
- ☆52Updated 6 months ago
- Papers for LLM and foundation models for time series analytics☆38Updated 7 months ago
- ☆90Updated 4 months ago
- Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"☆38Updated last month
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆32Updated last year
- Multivariate Time Series Repository☆66Updated last year
- ☆44Updated 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
- WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting (AAAI-2025)☆41Updated 2 weeks ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆172Updated last year