Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Recommend: HyperTS, a full-pipeline automated time series analysis toolkit. #33

Open
zhangxjohn opened this issue Oct 28, 2022 · 0 comments

Comments

@zhangxjohn
Copy link

Easy-to-use, powerful, and unified full pipeline automated time series toolkit.

Supports forecasting, classification, regression, and anomaly detection.

Including a large collection of TS models, including statistical models (Prophet, ARIMA, VAR, iForest, etc.), deep learning models(DeepAR, GRU, LSTNet, NBeats, VAE, etc.), and neural architecture search.

Github link: https://github.com/DataCanvasIO/HyperTS

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant