# tomas-gajarsky/facetorch

<https://repo.masters-masters.com/en/repos/tomas-gajarsky/facetorch>

[Home](https://repo.masters-masters.com/en) › [tomas-gajarsky](https://repo.masters-masters.com/en/owners/tomas-gajarsky) › [facetorch](https://repo.masters-masters.com/en/repos/tomas-gajarsky/facetorch)

tomas-gajarsky/facetorch has 614 stars on GitHub. Its RepoMasters card: Alpha tier. Python library for analysing faces using PyTorch Language: Python.

| Field | Value |
| --- | --- |
| Owner | [tomas-gajarsky](https://repo.masters-masters.com/en/owners/tomas-gajarsky) |
| Stars | 614 |
| Forks | 53 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | conda-forge, deep-learning, deepfake-detection, docker-compose, face-detection, facial-detection, facial-expression-recognition, machine-learning, neural-networks, pypi-package |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [tomas-gajarsky/facetorch](https://github.com/tomas-gajarsky/facetorch) |

## Repository

Python library for analysing faces using PyTorch

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## Nearby in Python

- [binggandata/bggg-skills · ★ 614 · Python · Alpha](https://repo.masters-masters.com/en/repos/binggandata/bggg-skills)
- [mengke-wang/xiaohongshu-ai-workbench · ★ 614 · Python · Alpha](https://repo.masters-masters.com/en/repos/mengke-wang/xiaohongshu-ai-workbench)
- [kevinzakka/mjbatch · ★ 614 · Python · Alpha](https://repo.masters-masters.com/en/repos/kevinzakka/mjbatch)
- [mattrobenolt/jinja2-cli · ★ 614 · Python · Alpha](https://repo.masters-masters.com/en/repos/mattrobenolt/jinja2-cli)
- [SintefManufacturing/python-urx · ★ 614 · Python · Alpha](https://repo.masters-masters.com/en/repos/SintefManufacturing/python-urx)
- [fictive-kin/openrecipes · ★ 614 · Python · Alpha](https://repo.masters-masters.com/en/repos/fictive-kin/openrecipes)

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