SJTU-DMTai / OnlineTSFLinks
Official implementation of "Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting" (KDD'25), a novel online time series forecasting framework.
☆39Updated 2 months ago
Alternatives and similar repositories for OnlineTSF
Users that are interested in OnlineTSF are comparing it to the libraries listed below
Sorting:
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆88Updated 10 months ago
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆121Updated 9 months ago
- Time Series Forecasting, Distribution Shift☆94Updated 2 years ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆108Updated last year
- ☆99Updated 2 months ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆60Updated 10 months ago
- ☆37Updated last year
- The official implementation of "FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts"☆31Updated 5 months ago
- ☆77Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆93Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆90Updated last year
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆63Updated 6 months ago
- Addressing prediction delays in time series forecasting: A continuous GRU Approach with derivative regularization☆29Updated 11 months ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆66Updated 5 months ago
- [ICML 2024 Oral & TPAMI] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Param…☆217Updated last week
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24Updated 4 years ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆227Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu …☆124Updated last month
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆59Updated last year
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Updated last year
- Implementation of RevIN is based on TF2.Keras and PyTorch.☆27Updated 2 years ago
- Official code repository for KDD'24 paper "Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shi…☆32Updated 2 months ago
- Multivariate Time Series Repository☆68Updated last year
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆101Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆55Updated 2 months ago
- ☆62Updated 9 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆94Updated 9 months ago
- Unofficial PyTorch implementation of Domain Adaptation Forecaster☆37Updated last year
- Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"☆45Updated 4 months ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆81Updated 2 years ago