awesome-deep-time-series-representations
github.com/itouchz/awesome-deep-time-series-representations ↗[ACM CSUR] A curated list of papers on universal representation learning for time series.
211
GitHub Stars
80
Curated Resources
2
Categories
2 hours ago
Last Refreshed
Related Surveys (Latest Update: May, 2026)Neighbor Repositories
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me representation learning resources from awesome-deep-time-series-representations"
Installation instructions →What's inside
Related Surveys (Latest Update: May, 2026)
- A Brief Overview of Universal Sentence Representation Methods: A Linguistic ViewRepresentation Learning
KU Leuven
- A Comprehensive Survey on Deep Graph Representation LearningRepresentation Learning
Peking University
- An empirical survey of data augmentation for time series classification with neural networksTime-Series Data Mining and Analysis
Kyushu University
- An Experimental Review on Deep Learning Architectures for Time Series ForecastingTime-Series Data Mining and Analysis
University of Sevilla
- Anomaly Detection for IoT Time-Series Data: A SurveyTime-Series Data Mining and Analysis
University of Keele
- Approaches and Applications of Early Classification of Time Series: A ReviewTime-Series Data Mining and Analysis
Indian Institute of Technology (BHU) Varanasi
Neighbor Repositories
- https://github.com/lixus7/Time-Series-Works-Conferences
- https://github.com/qianlima-lab/time-series-ptms
- https://github.com/qingsongedu/awesome-AI-for-time-series-papers
- https://github.com/qingsongedu/Awesome-SSL4TS
- https://github.com/qingsongedu/Awesome-TimeSeries-AIOps-LM-LLM
- https://github.com/qingsongedu/time-series-transformers-review
Showing a sample of 80 resources. View the full list on GitHub →