openai/pixel-cnn
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications" 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: 3708
- days_rel: n/a
- days_push: 2403
- n_releases_24m: 0
Adoption not part of the score
1960 stars · 431 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python/TensorFlow implementation of PixelCNN++, an autoregressive generative model for images with discretized logistic mixture likelihood, from the OpenAI paper of the same name. It supports multi-GPU training on CIFAR-10 and Small ImageNet and includes a pretrained checkpoint achieving 2.92 bits per dimension.
Use cases
- train a PixelCNN generative model on CIFAR-10
- generate images from an autoregressive pixel model
- reproduce PixelCNN++ paper results
- compute tractable image likelihoods in bits per dimension
- train a class-conditional image generation model
- adapt a generative image model to my own dataset
When to choose
- you need the exact PixelCNN++ model from the paper for research reproduction
- you want a TensorFlow autoregressive image model with tractable likelihood
- you have multi-GPU hardware and want to train on CIFAR-10 or Small ImageNet
When to avoid
- you need maintained code or recent TensorFlow compatibility
- you want modern generative models like diffusion or transformers
- you only have a single GPU or no GPU
- you need a production-ready image generation service
Facets
library · maturity abandoned
machine-learning deep-learning image-processing machine-learning deep-learning computer-vision python generative-models pixelcnn tensorflow research-code image-generation archived gpu linux
6 sources
- readme: https://github.com/openai/pixel-cnn · fetched 2026-08-28 · 944cb287acbe
- homepage: https://arxiv.org/abs/1701.05517 · fetched 2026-08-29 · 43c38985a0c8
- 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/pixel-cnn | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="openai/pixel-cnn")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem