Generative Evaluation Prdc
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Piq | 1,054 |  | 5 | 10 months ago | 13 | July 04, 2023 | 33 | apache-2.0 | Python | |
| Measures and metrics for image2image tasks. PyTorch. | ||||||||||
| Torch Fidelity | 820 |  | 8 | 3 months ago | 3 | June 15, 2021 | 1 | other | Python | |
| High-fidelity performance metrics for generative models in PyTorch | ||||||||||
| Gan Metrics | 275 | 5 years ago | 4 | Jupyter Notebook | ||||||
| An empirical study on evaluation metrics of generative adversarial networks. | ||||||||||
| Generative Evaluation Prdc | 121 | | 1 | 3 years ago | 2 | February 25, 2020 | 1 | mit | Python | |
| Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020. | ||||||||||
| Vae Gan Tensorflow | 112 | 6 years ago | 4 | Python | ||||||
| Tensorflow code of "autoencoding beyond pixels using a learned similarity metric" | ||||||||||
| Gan_metrics Tensorflow | 111 | 5 years ago | 5 | mit | Python | |||||
| Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance) | ||||||||||
| Ashpy | 86 | 2 years ago | 9 | February 07, 2020 | 26 | apache-2.0 | Python | |||
| TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping. | ||||||||||
| Self Conditioned Gan | 65 | 4 years ago | mit | Python | ||||||
| Diverse Image Generation via Self-Conditioned GANs | ||||||||||
| Metrics | 57 | 3 years ago | 1 | mit | Python | |||||
| 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 | 10 months ago | mit | Jupyter Notebook | ||||||
| Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs | ||||||||||
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