precision-recall-distributions
generative-evaluation-prdc
| precision-recall-distributions | generative-evaluation-prdc | |
|---|---|---|
| 1 | 2 | |
| 95 | 234 | |
| - | 5.1% | |
| 0.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
precision-recall-distributions
-
[R] What are some up-to-date references to the evaluation of model fit across various types of generative models (GANs, flows, VAEs, diffusion, etc.)?
Code for https://arxiv.org/abs/1806.00035 found: https://github.com/msmsajjadi/precision-recall-distributions
generative-evaluation-prdc
-
[D] Comparing the efficiency of different GAN models
Also you can easily add in some extra precision/recall mterics into that repo's evaluation script from this repo: https://github.com/clovaai/generative-evaluation-prdc
-
[R] What are some up-to-date references to the evaluation of model fit across various types of generative models (GANs, flows, VAEs, diffusion, etc.)?
Code for https://arxiv.org/abs/2002.09797 found: https://github.com/clovaai/generative-evaluation-prdc
What are some alternatives?
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
clean-fid - PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
the-gan-zoo - A list of all named GANs!
FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.
vae-anomaly-detector - Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
image-similarity-measures - :chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
ALAE - [CVPR2020] Adversarial Latent Autoencoders
rexmex - A general purpose recommender metrics library for fair evaluation.
SDV - Synthetic data generation for tabular data