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Generative Evaluation Prdc ⭐ 121

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Precision Recall Distributions ⭐ 38

Assessing Generative Models via Precision and Recall (official repository)

PyTorch code for FLS, FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.

Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions" https://openreview.net/forum?id=tBtoZYKd9n

Gan Evaluator ⭐ 8

A pip-installable evaluator for GANs (IS and FID). Accepts either dataloaders or individual batches. Supports on-the-fly evaluation during training. A working DCGAN SVHN demo script provided.

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