hfawaz/dl-4-tsc

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1659 stars · 594 forks observed · 2026-08-28

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

Companion repository for the paper 'Deep learning for time series classification: a review', providing TensorFlow 2 implementations of nine deep neural network architectures for time series classification. It includes scripts to run experiments on the UCR/UEA and MTS archives, with a Docker image for reproducibility.

Use cases

• classify time series with deep learning
• reproduce benchmark results from the TSC review paper
• compare FCN and ResNet architectures on UCR datasets
• run time series classification experiments on multivariate datasets
• get reference TensorFlow implementations of TSC models

When to choose

• you need reference implementations of the nine deep learning models benchmarked for time series classification
• you want to reproduce or extend the empirical results of the review paper
• you need a reproducible Docker-based setup for TSC experiments on UCR/UEA data

When to avoid

• you need a production-ready or actively maintained time series classification library
• you want scikit-learn-style APIs or easy integration into application pipelines
• you need models beyond the nine architectures covered in the paper

Facets

library · maturity maintenance

deep-learning machine-learning benchmarking deep-learning machine-learning time-series data-science python time-series-classification tensorflow research-code ucr-archive resnet fcn paper-companion research docker gpu linux

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