Deepfakes Software For All
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Updated
Jul 27, 2021 - Python
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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。
DeepFace: 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)
This is a AI Based Smart Exam Proctoring System using python flask, mysql as database, yolov4
The aim of the project is to recommend Spotify songs based on emotions detected.
This project is based on deepface python library.
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.
Development of a Real-Time Emotion Recognition System Using Facial Expressions and EEG based on machine learning and deep neural network methods
A system of neural networks to detect and recognize faces. We use techniques developed in FaceNet and DeepFace for face recognition and create a simplified YOLO algorithm for face detection.
Contains all the Frameworks and Models from Scratch being used for Facial Recognition.
A simple Face detection API made with Python, Flask, and Deepface capable of detecting emotion, race, gender, and ethnicity.
Full stack data-science project
FlyAI百万奖金竞赛平台
This project is designed for one shot face identify people in video
AI thesis regarding syndrome vs. control classification of faces of people with Intellectual Disability.
Partly unfinished racial recognition project made using the power of **Python** that can detect a face on in a camera feed and analyze it using DeepFace
facialAnalysisDetection2D: Detector implementation for the analysis of facial features. Using the deepFace API, analysis for the extraction and prediction of gender, age, ethnicity and emotions. Image source reception via YARP, processing and sending of detections via YARP port.
Simple face gender detection for an online meeting (e.g. Zoom or Microsoft Teams). The application is modified based on face-emotion: https://github.com/DeepSE/face-emotion
This project presents a systems integration, where it is possible to determine emotions from human faces.
CNN
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