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coding-interview-university

A complete computer science study plan to become a software engineer.

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

dr-gan-by-pytorch

An implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

eigenface

PCA and Kernel PCA implementations for faces and MNIST numbers.

eigenfaces

:dancers: A Python implementation of the famous Eigenfaces algorithm for face recognition, implemented and tested over the AT&T face data set.

eigenfaces-vs-fisherfaces

face-login

基于mtcnn/facenet/tensorflow 实现人脸识别登录系统

face-recognition

FACE RECOGNITION ---------------- The Yale Face Database contains 165 grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right-light, sad, sleepy, surprised, and wink. Your tasks are the following: 1. I have divided image into small blocks and extracted local binary patterns (LBP) from each block. Concatenated all LBP histograms to make a feature vector of an image. 2. Another feature vector is created out of gray levels of integral image. 3. Finally gray levels of image have been used as the last feature vector. 4. After Concatenating all feature vectors. I have Taken four images of each person for testing and the rest as training examples. 5. Using PCA to classify image for one-verses all classification scheme, i have shown results for few images that are selected randomly and reported the accuracy for all testing images using individual feature sets (gray level, integral, and LBP separately) and also for concatenated feature sets.

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

face_detection_hog

Face Detection using HOG and SVM

faceid-gan

this is a re-implementation of CVPR2018 paper "FaceID-GAN"

facerecognition

Face recognition using SIFT

facerecognition_lbph

Facial recognition using Local Binary Patterns Histogram

gabor-filter-face-extraction

Extract face feature based on gabor filtering

insightface

Face Recognition Project on MXNet

klipper-lb

Embedded service load balancer in Klipper

lbp-opencv-python

Some basic local binary patterns implementation in python using OpenCV.

local_binary_patterns

Local Binary Patterns implementation using Python3 and OpenCV

myos

niccccce

pca_autoencoder_fisherface

Using PCA, Autoencoder and Fisher linear discriminant to extract the effective representations from the face images. Do the reconstruction of the faces and classification of male and female faces.

pkuseg-python

python版本：领域细分的中文分词工具，简单易用，跟现有开源工具相比提高了分词的准确率。

python-hog

Python implementation of the Histogram of Oriented Gradients.

pythonsift

A Python implementation of SIFT (for educational purposes only)

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

pytorch-tp-gan

pytorch replicate of TP-GAN "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"

pytorch_fast-er_rcnn

Pytorch Fast R-CNN and Faster R-CNN Implementation. Pytorch 1.1+, Torchvision 0.3+. No installation required.

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper