WGANGP: Source Code for WGAN-GP-Based Data Augmentation

Hongtao Zhang published source code for a WGAN-GP-based data augmentation procedure on figshare in June 2026. The implementation is designed to generate augmented samples from small-sample datasets for machine learning tasks predicting ultimate load and displacement. The file is 6.2 KB in size and is shared under a CC-BY-4.0 license.

Use Cases

• Implementing WGAN-GP-based data augmentation based on the described procedure
• Generating synthetic training samples for machine learning models based on the described small-sample datasets
• Reproducing the data augmentation method for predicting ultimate load and displacement

Strengths

• The source code is openly shared under a permissive CC-BY-4.0 license
• The file is small (6.2 KB), facilitating quick download and inspection

Limitations

• The description metadata is limited; actual data quality requires manual inspection after download
• The dataset's scope is limited to a single source code file without accompanying example data or detailed documentation

Provenance

Source

figshare

Collection Method

Source code implementation uploaded by the author.

Freshness

Last updated 2026-06-01 17:33:07; freshness should be verified