ddz16/TSFpaper
A categorized paper list covering deep learning approaches to time series and spatio-temporal forecasting.
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This repository provides a structured reading list of over 400 papers on time series forecasting and spatio-temporal forecasting. Papers are organized by model type including RNNs, Transformers, and temporal convolutional networks. The collection includes work from top conferences and recent arXiv preprints, marked by forecasting type such as univariate, multivariate, or spatio-temporal.
Frequently asked
- What is ddz16/TSFpaper?
- A categorized paper list covering deep learning approaches to time series and spatio-temporal forecasting.
- Is TSFpaper open source?
- Yes — ddz16/TSFpaper is an open-source project tracked on heatdrop.
- How popular is TSFpaper?
- ddz16/TSFpaper has 3.2k stars on GitHub.
- Where can I find TSFpaper?
- ddz16/TSFpaper is on GitHub at https://github.com/ddz16/TSFpaper.