dongbeank / CATSLinks
[NeurIPS 2024] Official implementation of the paper "Are Self-Attentions Effective for Time Series Forecasting?"
☆59Updated last year
Alternatives and similar repositories for CATS
Users that are interested in CATS are comparing it to the libraries listed below
Sorting:
- ☆97Updated last year
- ☆40Updated this week
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆250Updated last year
- [AAAI 2025] Official implementation of "xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition"☆108Updated 9 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆96Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆77Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆125Updated last year
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆190Updated 8 months ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Updated 2 years ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆105Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆227Updated 5 months ago
- Time Series Forecasting, Distribution Shift☆99Updated 2 years ago
- ☆137Updated 3 years ago
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆221Updated 2 weeks ago
- ☆120Updated last year
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆169Updated 2 years ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆132Updated 6 months ago
- ☆187Updated last year
- Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.☆87Updated 2 years ago
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆59Updated 5 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆90Updated last year
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆78Updated 11 months ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆153Updated last year
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆27Updated last year
- ☆109Updated 7 months ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆128Updated 2 years ago
- TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…☆60Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆209Updated last year
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆121Updated 10 months ago