qingsongedu/Awesome-SSL4TS
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
This is a curated collection of resources focused on Self-Supervised Learning for Time Series (SSL4TS). It provides papers, code, and datasets for researchers and practitioners working with complex time-series data. The project helps you find state-of-the-art methods for tasks like anomaly detection, forecasting, and classification without needing extensive labeled data.
369 stars. No commits in the last 6 months.
Use this if you are a researcher or data scientist looking for a comprehensive overview and resources to apply self-supervised learning techniques to your time series analysis problems.
Not ideal if you are looking for a ready-to-use software tool or library for direct implementation without understanding the underlying research.
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Apr 28, 2024
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