lzz19980125/awesome-time-series-segmentation-papers
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
- Stars
- 544
- Forks
- 14
- Open issues
- 0
- Last push
- 16d ago
About awesome-time-series-segmentation-papers
awesome-time-series-segmentation-papers is a free, open-source AI resource list by lzz19980125, written mainly in MATLAB. This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved. It has 544 GitHub stars and 14 forks, and was last updated 16d ago. It's released under the GPL-3.0 license, a standard open-source license.
- License
- GPL-3.0
- Language
- MATLAB
- Stars
- 544
- Last update
- 16d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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awesome-time-series-segmentation-papers FAQ
Is awesome-time-series-segmentation-papers free?
Yes. awesome-time-series-segmentation-papers is open source and free to use. It's released under the GPL-3.0 license, a standard open-source license.
Does awesome-time-series-segmentation-papers run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-time-series-segmentation-papers need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-time-series-segmentation-papers still maintained?
Yes. It was last updated 16d ago and has 0 open issues on GitHub.
What are alternatives to awesome-time-series-segmentation-papers?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, anomaly-detection-resources, CVPR2026-Papers-with-Code, kaggle-solutions.