Showing 1-20 of 37 projects
Simplified facial recognition API for Python and command line
2D/3D face analysis with AI
DeepFace is a lightweight Python library for face recognition and facial attribute analysis, including age, gender, emotion, and race detection.
AI-powered ID photo generation with face detection and matting
A TypeScript library for face detection and face recognition in the browser and Node.js using TensorFlow.js.
Face recognition with deep neural networks using Lua.
Face recognition using the FaceNet deep learning model, built with TensorFlow.
An open-source face recognition system with a rich set of computer vision features and APIs.
Enables secure facial authentication on Linux using Windows Hello-style technology.
Fawkes is a privacy-preserving tool against facial recognition systems, built using Python.
Pretrained PyTorch models for face detection and facial recognition, useful for building computer vision applications.
A Python tool that uses image recognition and reverse image search to find people's social media profiles, designed for 'vibe coders'.
A curated collection of papers and resources related to various aspects of face recognition technology.
A high-performance face recognition library for developers built on PaddlePaddle and PyTorch.
A comprehensive AI-powered computer vision library for face detection, tracking, recognition, and more.
A self-hosted alternative to Google Photos with features like face detection and object recognition.
A self-hosted, local-only NVR and AI computer vision software with features like object detection and face recognition.
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
Face detection and recognition library for Python, using the Dlib computer vision library.
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
Get weekly updates on trending AI coding tools and projects.