TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python

PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age'

facial expression recognition with Pytorch

Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly

Face recognition model trained on VGG Faces 2 to recognise people on videos without being explicitly trained on them. (Based on a database of people pictures can identify the person of the video through the extracted features)

Face Recognition Project For ML class, EL9123, 17FALL

First try with VGG-Face CNN descriptor using OpenCV DNN Module

Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder

One-Shot-Face-Detection-using-VGGFace