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Measures and metrics for image2image tasks. PyTorch.

Torch Fidelity ⭐ 820

High-fidelity performance metrics for generative models in PyTorch

Gan Metrics ⭐ 275

An empirical study on evaluation metrics of generative adversarial networks.

Generative Evaluation Prdc ⭐ 121

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

Vae Gan Tensorflow ⭐ 112

Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

Gan_metrics Tensorflow ⭐ 111

Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Self Conditioned Gan ⭐ 65

Diverse Image Generation via Self-Conditioned GANs

IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.

On The Generation And Evaluation Of Synthetic Tabular Data Using Gans ⭐ 34

Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs

Evolutionarygan Pytorch ⭐ 31

The author's officially unofficial Pytorch EvolutionaryGAN implementation.

Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"

Code for the paper "Banach Wasserstein GAN"

Unsupnts ⭐ 23

Unsupervised Neural Text Simplification

BourGAN: Generative Networks with Metric Embeddings

Textgenerationevaluationmetrics ⭐ 16

Jointly Measuring Diversity and Quality in Text Generation Models

Infogan Cr ⭐ 15

InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs, ICML 2020

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.

Gan_metrics ⭐ 5

Some metrics to evaluate GAN results quality.

NYU Research Project on GANs.

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