BorealisAI / scaleformer
☆130Updated 2 years ago
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)☆112Updated 2 years ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆97Updated last year
- Time Series Forecasting, Distribution Shift☆84Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆180Updated 2 weeks ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆127Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆83Updated last year
- ☆52Updated last year
- ☆89Updated 2 months ago
- ☆94Updated 6 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆175Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆93Updated 5 months ago
- ☆69Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆90Updated 8 months ago
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆58Updated 11 months ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆223Updated 2 years ago
- ☆98Updated 2 years ago
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆144Updated last year
- ☆56Updated 3 months ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆80Updated 11 months ago
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆45Updated 2 years ago
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆192Updated 5 months ago
- ☆84Updated last year
- ☆213Updated 8 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆171Updated last year
- ☆47Updated last year
- The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of …☆107Updated 2 months ago
- Transformer based model for time series prediction☆131Updated 3 years ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆109Updated 4 months ago
- [ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching☆54Updated last month
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆185Updated 7 months ago