Deepfakes Software For All

DeepFaceLab is the leading software for creating deepfakes.

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

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

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

face detection, verification and recognition using Keras

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

即時人臉辨識(使用OpenCV與FaceNet)

Convolutional Neural Networks repository for all projects of Course 4 of 5 of the Deep Learning Specialization covering CNNs and classical architectures like LeNet-5, AlexNet, GoogleNet Inception Network, VGG-16, ResNet, 1x1 Convos, OverFeat, R-CNN, Fast R-CNN, Faster R-CNN, YOLO, YOLO9000, DeepFace, FaceNet and Neural Style Transfer.

FlyAI百万奖金竞赛平台

Contains all the Frameworks and Models from Scratch being used for Facial Recognition.

This project is designed for one shot face identify people in video

Full stack data-science project

CNN

AI thesis regarding syndrome vs. control classification of faces of people with Intellectual Disability.

facialAnalysisDetection2D: Implementación de detector para el análisis de rasgos faciales. Mediante la API de deepFace, análisis para la extracción y predicción del género, edad, etnia y emociones. Recepción de fuente de imagen vía YARP, procesado y envío de detecciones mediante puerto YARP.