lqzxt / Time-R1Links
Time-R1 is a two-stage reinforcement fine-tuning framework that trains large language models to perform slow-thinking, step-by-step reasoning for accurate and explainable time series forecasting.
☆82Updated 4 months ago
Alternatives and similar repositories for Time-R1
Users that are interested in Time-R1 are comparing it to the libraries listed below
Sorting:
- ☆46Updated this week
- [ICML2024] Official repo for paper "Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning"☆82Updated 7 months ago
- PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [o…☆132Updated 4 months ago
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆39Updated 10 months ago
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆123Updated 4 months ago
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆78Updated last year
- [ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This wor…☆72Updated 5 months ago
- ☆54Updated last year
- [ICML 2025] Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting☆71Updated last month
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)☆106Updated last year
- About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral)☆153Updated 2 months ago
- Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".☆81Updated last year
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆119Updated this week
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆128Updated 4 months ago
- The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of …☆127Updated 9 months ago
- ☆21Updated 11 months ago
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆34Updated 4 months ago
- ☆28Updated last year
- A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective☆35Updated 7 months ago
- [ICLR2025]Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series☆62Updated 9 months ago
- ☆153Updated last year
- ☆122Updated 5 months ago
- [IJCAI 2025] Official implementation of "T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models"☆64Updated last month
- Official reponsitory for "S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting"☆48Updated last year
- The official implementation of "FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts"☆38Updated 8 months ago
- [AAAI 2025] Official implementation of "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment"☆131Updated 5 months ago
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆86Updated 9 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆219Updated last month
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆104Updated 9 months ago
- ☆40Updated last year