openai/improved-gan

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

2333 stars · 615 forks observed · 2026-08-28

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

Reference implementation of the techniques from the OpenAI paper 'Improved Techniques for Training GANs' (arXiv:1606.03498), including semi-supervised classification and image generation experiments. It contains experiment code for MNIST, SVHN, CIFAR-10, and ImageNet, and is archived with no further updates.

Use cases

• reproduce GAN training results from the Improved Techniques paper
• implement semi-supervised learning with GANs
• study feature matching and minibatch discrimination techniques
• generate realistic MNIST or CIFAR-10 images with a GAN
• learn how GAN training stability tricks are implemented
• run ImageNet GAN sample generation experiments

When to choose

• you need the exact code behind the 2016 Improved Techniques for Training GANs paper
• you are studying historical GAN research or reproducing published baselines
• you want a reference implementation of semi-supervised GAN classification

When to avoid

• you need maintained, production-ready GAN tooling
• you want a license-cleared codebase for commercial use (no license is provided)
• you need modern GAN architectures or up-to-date framework support

Facets

library · maturity abandoned

machine-learning deep-learning image-processing machine-learning deep-learning computer-vision python gan generative-adversarial-networks semi-supervised-learning research-code paper-reproduction tensorflow mnist cifar10 imagenet research gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="openai/improved-gan")