This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
Explore a collection of over 400 research papers on time series and spatio-temporal forecasting models.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeThis repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
TSFpaper has 3.2k stars on GitHub. It has been forked 268 times. It has been in active development since 2022. Its main topics are deep-learning, deep-neural-networks, paper-lists, rnn.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
TSFpaper is an open-source project.
Yes. TSFpaper is free and open source — you can use, modify and self-host it.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/ddz16-tsfpaper.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.