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openai/glow

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

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Builder

OpenAI

openai • ai-lab

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3,183

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Forks

524

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0/100

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Created

Jun 19, 2018

Project creation date

README Summary

This repository contains the official implementation code for reproducing results from the paper 'Glow: Generative Flow with Invertible 1x1 Convolutions'. It provides a PyTorch implementation of the Glow model, a flow-based generative model that uses invertible neural networks for high-quality image synthesis.

AI Dev Skills

Unmapped

Normalizing FlowsGenerative ModelingInvertible Neural NetworksFlow-based ModelsDeep Generative ModelsLikelihood-based ModelsInvertible 1x1 Convolutions

Taxonomy

AI Trends

Generative AI Probabilistic Models

Deployment Context

Self-hosted

Modalities

Image

Skill Areas

Normalizing Flows Generative Modeling Invertible Neural Networks Flow-based Models Deep Generative Models Likelihood-based Models Invertible 1x1 Convolutions

Use Cases

High-quality Image Generation Density Estimation for Images Latent Space Interpolation Exact Likelihood Computation

Recent Activity

Updated 1 years ago

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Quality

research

Quality: medium
Maturity: research

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created: Jun 19, 2018
Forked: Mar 14, 2026
Your last push: 1 years ago
Upstream last push: 1 years ago
Tracked since: Jul 23, 2024

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