hfawaz/dl-4-tsc
A research implementation of deep CNN architectures (ResNet, FCN, Encoder) for time series classification using the UCR/UEA archive.
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This repository accompanies a published survey paper on deep learning for time series classification. It provides implementations of convolutional neural network architectures including ResNet and Fully Convolutional Networks (FCN) adapted for time series data. The code supports experiments on the UCR/UEA univariate and multivariate time series archives, allowing researchers to reproduce classification benchmarks using various deep learning approaches.
Frequently asked
- What is hfawaz/dl-4-tsc?
- A research implementation of deep CNN architectures (ResNet, FCN, Encoder) for time series classification using the UCR/UEA archive.
- Is dl-4-tsc open source?
- Yes — hfawaz/dl-4-tsc is open source, released under the GPL-3.0 license.
- What language is dl-4-tsc written in?
- hfawaz/dl-4-tsc is primarily written in Python.
- How popular is dl-4-tsc?
- hfawaz/dl-4-tsc has 1.7k stars on GitHub.
- Where can I find dl-4-tsc?
- hfawaz/dl-4-tsc is on GitHub at https://github.com/hfawaz/dl-4-tsc.