openai/InfoGAN
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets" observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3744
- days_rel: n/a
- days_push: 1987
- n_releases_24m: 0
Adoption not part of the score
1069 stars · 301 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Official research code from OpenAI for reproducing results of the InfoGAN paper, an information-theoretic extension to GANs that learns disentangled representations in an unsupervised manner. It includes an MNIST experiment launcher built on an old dev version of TensorFlow.
Use cases
- reproduce InfoGAN paper results on MNIST
- study unsupervised disentangled representation learning
- explore GAN variants with mutual information objectives
- reference implementation of information-maximizing GANs
- learn how research GAN code is structured in TensorFlow
When to choose
- you need the exact reference implementation of the InfoGAN paper
- you are studying or extending the original InfoGAN method
- you want historical research code for academic citation or comparison
When to avoid
- you need a maintained, production-ready GAN library
- you want to run on modern TensorFlow or PyTorch versions
- you need a permissively licensed codebase (no license is provided)
- you want to train on datasets beyond the provided MNIST example without significant rework
Facets
library · maturity abandoned
machine-learning deep-learning machine-learning deep-learning artificial-intelligence python gan infogan research-code paper-reproduction tensorflow unsupervised-learning representation-learning archived docker
6 sources
- readme: https://github.com/openai/InfoGAN · fetched 2026-08-28 · 9e8d2f4abdfb
- homepage: https://arxiv.org/abs/1606.03657 · fetched 2026-08-29 · c4f44cc80237
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| openai/InfoGAN | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem