Popular GitHub Repositories for Facial Keypoints Transfer

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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

Image augmentation for machine learning experiments.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

TensorFlow CNN for fast style transfer ????

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

Fast and Accurate ML in 3 Lines of Code

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

?? Windows Hello? style facial authentication for Linux

Leading free and open-source face recognition system

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization