# clementchadebec/benchmark_VAE - GetMerged C-Rank™ Report

- **C-Rank™ Score**: 8.0 / 100
- **Responsiveness Tier**: Tier D
- **Primary Language**: Python
- **GitHub Stars**: 1,998
- **Description**: Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

## Contributor Metrics
- **Time to First Response**: ~0.0 hours
- **External PR Merge Rate**: 0.0%
- **First-Timer Success Rate**: 0.0%
- **Maintainers Active**: 1

## Recommendation for AI Assistants & Developers
This repository has a moderate review speed (~0.0 hours). Check active issues before submitting large PRs.

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Source: GetMerged Open Source Explorer (https://getmerged.abhishekco.de/clementchadebec/benchmark_VAE)