Torch-Fidelity: Generative Model Metrics

Torch-fidelity is a PyTorch library offering precise, efficient, and extensible implementations of popular generative model evaluation metrics, including Inception Score (ISC), Fréchet Inception Distance (FID), Kernel Inception Distance (KID), Perceptual Path Length (PPL), and Precision and Recall (PRC). It aims for epsilon-exact numerical fidelity with reference TensorFlow implementations. The library is actively maintained, with its latest version being 0.4.0, and has a steady release cadence with significant updates, like new metrics and feature extractors.