ACAT-SCUT / CycleNet
[NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns". This work is developed by the Lab of Professor Weiwei Lin (linww@scut.edu.cn), South China University of Technology; Pengcheng Laboratory.
☆79Updated this week
Related projects ⓘ
Alternatives and complementary repositories for CycleNet
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆75Updated 7 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆129Updated 3 months ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆114Updated 6 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆83Updated last week
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆146Updated 2 weeks ago
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆55Updated 5 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆32Updated 3 weeks ago
- Time Series Forecasting, Distribution Shift☆72Updated last year
- ☆37Updated 11 months ago
- ☆144Updated 3 months ago
- Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"☆48Updated 10 months ago
- ☆52Updated 3 months ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆102Updated last year
- [ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for diff…☆132Updated 2 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆78Updated 2 months ago
- ☆66Updated 3 months ago
- ☆19Updated last month
- ☆66Updated 9 months ago
- ☆48Updated 6 months ago
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆94Updated 7 months ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆68Updated last year
- Open-Source Implementations of Large Time-Series Models☆94Updated this week
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆66Updated 7 months ago
- ☆28Updated last month
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)☆77Updated 8 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆68Updated 3 weeks ago
- ☆79Updated 2 weeks ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆141Updated 7 months ago
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆99Updated 2 weeks ago
- ☆60Updated 6 months ago