GANs is an older generative-modeling experiment workspace.
This repository needs a code audit before it should be documented as a polished ML project. The README is intentionally conservative until the actual notebooks, scripts, datasets, and outputs are verified.
- Identify the GAN architecture and training entry point.
- Document datasets and usage rights.
- Add setup instructions and dependency versions.
- Add generated samples only if they were produced by this repository and are safe to publish.
- Add limitations and evaluation notes.
- Decide whether this repository should be kept public, archived, or merged into a stronger ML project.
Experiment goal
Dataset
Model architecture
How to run
Outputs
Limitations
Future work