openai/glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions" observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
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: 2997
- days_rel: n/a
- days_push: 771
- n_releases_24m: 0
Adoption not part of the score
3185 stars · 524 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Official research code from OpenAI for reproducing the 'Glow: Generative Flow with Invertible 1x1 Convolutions' paper, a flow-based generative image model built in TensorFlow 1.x. It includes training scripts, pretrained CelebA-HQ models, and an interactive demo for image synthesis and manipulation.
Use cases
- reproduce results from the Glow generative flow paper
- train a normalizing flow model on CIFAR-10 or ImageNet
- generate and manipulate faces with a pretrained CelebA-HQ model
- run the interactive image manipulation demo
- benchmark log-likelihood on standard image datasets
- study invertible 1x1 convolution implementations
When to choose
- you need to reproduce or extend the Glow paper's results
- you want a reference implementation of normalizing flows with invertible 1x1 convolutions
- you want to experiment with the pretrained CelebA-HQ face manipulation demo
- you are researching flow-based generative models
When to avoid
- you need a maintained library or modern TensorFlow 2.x support
- you want a production-ready generative image model
- you lack multi-GPU Horovod/MPI infrastructure for large-scale training
- you need state-of-the-art image generation quality
Facets
library · maturity abandoned
machine-learning deep-learning image-processing machine-learning deep-learning artificial-intelligence image-processing python generative-models normalizing-flows tensorflow research-code paper-reproduction archived gpu
6 sources
- readme: https://github.com/openai/glow · fetched 2026-08-28 · d27f059573e1
- homepage: https://arxiv.org/abs/1807.03039 · fetched 2026-08-29 · 738d8707048b
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- 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/glow | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem