Deepfakes Software For All
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Updated
May 19, 2024 - Python
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 Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
TensorFlow 101: Introduction to Deep Learning
This is a AI Based Smart Exam Proctoring System using python flask, mysql as database, yolov4
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)
Full stack data-science project
Just an app to use DeepFaceLab with a user interface.
This repository contains a comprehensive face recognition system that combines YOLOv8 for face detection and FaceNet for face recognition.
Facial Emotion Recognition using OpenCV and Deepface
This project is a comprehensive face recognition-based attendance system for universities. It leverages OpenCV for face detection and recognition, Firebase for data storage, and Flask for the web interface. The system allows for student registration, face capture, and attendance tracking, providing a modern solution for attendance management.
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.
recops is a facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research.
EVERYTHING YOU NEED FOR DATA SCIENCE.
The aim of the project is to recommend Spotify songs based on emotions detected.
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