awesome-multimodal-time-series
github.com/forestsking/awesome-multimodal-time-series ↗A curated list of paper, code, data, and other resources focus on multimodal time series analysis.
227
GitHub Stars
37
Curated Resources
5
Categories
20 hours ago
Last Refreshed
Time Series ForecastingTime Series ReasoningTime Series CaptioningTime Series GenerationTime Series Alignment
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me time series reasoning resources from awesome-multimodal-time-series"
Installation instructions →What's inside
Time Series Reasoning
- A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
arXiv
- Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution
arXiv
- Can LLMs Understand Time Series Anomalies?
ICLR
- ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
AAAI
- ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning
arXiv
- Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data
arXiv
Time Series Forecasting
- Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues
arXiv
- ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data
arXiv
- Context is Key: A Benchmark for Forecasting with Essential Textual Information
arXiv
- Does Multimodality Lead to Better Time Series Forecasting?
arXiv
- Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
arXiv
- Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time-Series Forecasting: A Benchmark and Insights
arXiv
Time Series Alignment
Time Series Captioning
Time Series Generation
Showing a sample of 37 resources. View the full list on GitHub →