AdityaLab / OpenTimeRLinks
☆11Updated 2 months ago
Alternatives and similar repositories for OpenTimeR
Users that are interested in OpenTimeR are comparing it to the libraries listed below
Sorting:
- [IJCAI 2025] Official implementation of "T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models"☆30Updated last month
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆55Updated 9 months ago
- ☆53Updated 11 months ago
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆44Updated this week
- ☆15Updated last year
- Time-R1 is a two-stage reinforcement fine-tuning framework that trains large language models to perform slow-thinking, step-by-step reaso…☆19Updated this week
- The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》☆22Updated 9 months ago
- This is an official repository for "Harnessing Vision Models for Time Series Analysis: A Survey".☆27Updated 2 weeks ago
- [NeurIPS 2024] CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting☆16Updated 6 months ago
- Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts☆52Updated 10 months ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆48Updated 6 months ago
- [ICLR 2024] Official code of RobustTSF☆20Updated last year
- A curated list of papers in the intersection of multimodal LLMs and time series analysis. https://mllm-ts.github.io/paper/MLLMTS_Survey.p…☆28Updated 2 weeks ago
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)☆97Updated last year
- ☆13Updated 7 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆55Updated 4 months ago
- ☆11Updated 9 months ago
- PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [o…☆91Updated 2 months ago
- A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective☆28Updated 2 months ago
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆10Updated 2 years ago
- ☆38Updated 11 months ago
- [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection☆22Updated 11 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆32Updated last year
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆17Updated last year
- Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework…☆31Updated last month
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆17Updated last month
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆21Updated last month
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆24Updated last year
- Can Multimodal LLMs Perform Time Series Anomaly Detection? https://arxiv.org/abs/2502.17812☆28Updated last month
- Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).☆17Updated last month