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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Face recognition with deep neural networks.
| Date | Stars |
|---|---|
| 2026-07-31 | 15431 |
| 2026-08-01 | 15431 |
| 2026-08-03 | 15432 |
| 2026-08-04 | 15432 |
| 2026-08-05 | 15433 |
| 2026-08-06 | 15433 |
Today
— stars today
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— stars this month
Momentum
0.0
growth rate 0.00%/day
# OpenFace • [![Build Status][travis-image]][travis] [![Release][release-image]][releases] [![License][license-image]][license] [![Gitter][gitter-image]][gitter]
*Free and open source face recognition with
deep neural networks.*
[travis-image]: https://travis-ci.org/cmusatyalab/openface.svg?branch=master
[travis]: https://travis-ci.org/cmusatyalab/openface
[release-image]: https://img.shields.io/badge/release-0.2.1-blue.svg?style=flat
[releases]: https://github.com/cmusatyalab/openface/releases
[license-image]: https://img.shields.io/badge/license-Apache--2-blue.svg?style=flat
[license]: LICENSE
[gitter-image]: https://badges.gitter.im/Join%20Chat.svg
[gitter]: https://gitter.im/cmusatyalab/openface
---
+ Website: https://cmusatyalab.github.io/openface/
+ [API Documentation](https://openface-api.readthedocs.org/en/latest/index.html)
+ Join the
[cmu-openface group](https://groups.google.com/forum/#!forum/cmu-openface)
or the
[gitter chat](https://gitter.im/cmusatyalab/openface)
for discussions and installation issues.
+ Development discussions and bugs reports are on the
[issue tracker](https://github.com/cmusatyalab/openface/issues).
---
This research was supported by the National Science Foundation (NSF)
under grant number CNS-1518865. Additional support
was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the
Conklin Kistler family fund. Any opinions, findings, conclusions or
recommendations expressed in this material are those of the authors
and should not be attributed to their employers or funding sources.
# What's in this repository?
+ [batch-represent](https://github.com/cmusatyalab/openface/tree/master/batch-represent): Generate representations from
a batch of images. [Example directory structure.](https://gist.github.com/bamos/f03037f5df7e05ad0cc8)
+ [demos/web](https://github.com/cmusatyalab/openface/tree/master/demos/web): Real-time web demo.
+ [demos/compare.py](https://github.com/cmusatyalab/openface/tree/master/demos/compare.py): Demo to compare two images.
+ [demos/vis-outputs.lua](https://github.com/cmusatyalab/openface/tree/master/demos/vis-outputs.lua): Demo to
visualize the network's outputs.
+ [demos/classifier.py](https://github.com/cmusatyalab/openface/tree/master/demos/classifier.py): Demo to train and use classifiers.
+ [demos/classifier_webcam.py](https://github.com/cmusatyalab/openface/blob/master/demos/classifier_webcam.py): Demo to use a trained classifier on a webcam stream.
+ [evaluation](https://github.com/cmusatyalab/openface/blob/master/evaluation): LFW accuracy evaluation scripts.
+ [openface](https://github.com/cmusatyalab/openface/tree/master/openface): Python library code.
+ [models](https://github.com/cmusatyalab/openface/tree/master/models): Model directory for openface and 3rd party libraries.
+ [tests](https://github.com/cmusatyalab/openface/tree/master/tests): Tests for scripts and library code, including neural network training.
+ [training](https://github.com/cmusatyalab/openface/tree/master/training): Scripts to train new OpenFace neural network models.
+ [util](https://github.com/cmusatyalab/openface/tree/master/util): Utility scripts.
# Citations
Please cite OpenFace in your publications if it helps your research.
The following is a [BibTeX](https://www.bibtex.org/) and plaintext reference for our
[OpenFace tech report](https://reports-archive.adm.cs.cmu.edu/anon/anon/2016/CMU-CS-16-118.pdf).
```
@techreport{amos2016openface,
title={OpenFace: A general-purpose face recognition
library with mobile applications},
author={Amos, Brandon and Bartosz Ludwiczuk and Satyanarayanan, Mahadev},
year={2016},
institution={CMU-CS-16-118, CMU School of Computer Science},
}
B. Amos, B. Ludwiczuk, M. Satyanarayanan,
"Openface: A general-purpose face recognition library with mobile applications,"
CMU-CS-16-118, CMU School of Computer Science, Tech. Rep., 2016.
```
# Licensing
Unless otherwise stated, the source code and trained Torch and PExcerpt of 4,626 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d52852d93d87b863, topic:face-recognition, desc:face recognition
matched fp:d52852d93d87b863, topic:deep-learning