Alro10/deep-learning-time-series resource

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2781 stars · 527 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated list of state-of-the-art papers, code, experiments, competitions, and datasets on deep learning for time series forecasting. It covers architectures like LSTM, Transformers, N-BEATS, and diffusion models with links to implementations.

Use cases

• find papers on deep learning time series forecasting
• learn LSTM models for sales forecasting
• compare classic vs deep learning forecasting methods
• find code implementations of forecasting papers like Informer and Autoformer
• discover time series forecasting competitions and datasets
• study demand forecasting with neural networks

When to choose

• you want a curated reading list of SOTA forecasting papers with code links
• you are researching deep learning approaches to time series prediction
• you need references for forecasting competitions or datasets

When to avoid

• you need a production-ready forecasting library rather than a resource list
• you want classical statistical methods like ARIMA without deep learning
• you expect maintained, runnable software

Facets

learning-resource · maturity active

machine-learning deep-learning time-series machine-learning tutorials python time-series-forecasting curated-list papers lstm transformers pytorch tensorflow awesome-list

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