BorealisAI / scaleformer
☆125Updated last year
Alternatives and similar repositories for scaleformer:
Users that are interested in scaleformer are comparing it to the libraries listed below
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆105Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆151Updated last month
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆74Updated last year
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆221Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆119Updated 8 months ago
- ☆172Updated 5 months ago
- Time Series Forecasting, Distribution Shift☆76Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆85Updated 9 months ago
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆57Updated 7 months ago
- ☆52Updated last year
- ☆87Updated 2 months ago
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆165Updated 3 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆156Updated 9 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆147Updated 11 months ago
- Transformer based model for time series prediction☆125Updated 2 years ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆203Updated 6 months ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆76Updated 2 years ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆84Updated 4 months ago
- ☆64Updated 8 months ago
- ☆98Updated 2 years ago
- ☆88Updated last month
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆88Updated 2 months ago
- ☆127Updated 6 months ago
- ☆73Updated 10 months ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆239Updated 9 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆79Updated last week
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆72Updated 8 months ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆293Updated 4 months ago
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆204Updated 4 months ago
- [ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for diff…☆155Updated 4 months ago