# msmsajjadi/precision-recall-distributions

<https://repo.masters-masters.com/en/repos/msmsajjadi/precision-recall-distributions>

[Home](https://repo.masters-masters.com/en) › [msmsajjadi](https://repo.masters-masters.com/en/owners/msmsajjadi) › [precision-recall-distributions](https://repo.masters-masters.com/en/repos/msmsajjadi/precision-recall-distributions)

msmsajjadi/precision-recall-distributions has 112 stars on GitHub. Its RepoMasters card: Prototype tier. Assessing Generative Models via Precision and Recall…

| Field | Value |
| --- | --- |
| Owner | [msmsajjadi](https://repo.masters-masters.com/en/owners/msmsajjadi) |
| Stars | 112 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | adversarial-networks, variational-autoencoder, vae, gan, generative-adversarial-network, generative-models, evaluation-metrics, evaluation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [msmsajjadi/precision-recall-distributions](https://github.com/msmsajjadi/precision-recall-distributions) |

## Repository

Assessing Generative Models via Precision and Recall (official repository)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.