toshas/torch-fidelity

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1197 stars · 88 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch library providing accurate and efficient implementations of generative model evaluation metrics such as FID, Inception Score, KID, Precision/Recall, and Perceptual Path Length. It offers both a CLI and Python API, with feature caching and extensibility for custom feature extractors.

Use cases

• compute FID between two image datasets
• calculate inception score for generated images
• evaluate GAN quality during training loop
• reproduce paper metrics for generative models
• measure precision and recall of generated samples
• evaluate diffusion model sample quality
• compute perceptual path length for GANs

When to choose

• you need numerically precise metrics matching reference implementations for papers
• you want fast metric computation with feature caching inside a training loop
• you need both CLI and programmatic evaluation in PyTorch
• you want to evaluate non-image modalities via custom feature extractors

When to avoid

• you need metrics for frameworks other than PyTorch
• you only need quick qualitative visual inspection of samples
• you require metrics not covered by the supported set without writing a custom extractor

Facets

library · maturity active

benchmarking machine-learning cli machine-learning deep-learning computer-vision artificial-intelligence python cli cross-platform pytorch gan-evaluation fid inception-score kid perceptual-path-length precision-recall generative-models metrics gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="toshas/torch-fidelity")