iamZe

caffe

Caffe: a fast open framework for deep learning.

facenet

Face recognition using Tensorflow

stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Deformable-ConvNets

Deformable Convolutional Networks

SENet

Squeeze-and-Excitation Networks

MTCNN_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

ResNeXt

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

caffe-face

This branch is developed for deep face recognition

LightCNN

A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

face_verification_experiment

Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

ResNeXt.pytorch

Reproduces ResNet-V3 with pytorch

vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders

FaceVerification

An Experimental Implementation of Face Verification, 96.8% on LFW.

face_specific_augm

Face Renderer to perform Domain (Face) Specific Data Augmentation

caffe

Caffe for Sparse and Low-rank Deep Neural Networks

NormFace

NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW

MNIST_center_loss_pytorch

A PyTorch implementation of center loss on MNIST

resnet-protofiles

Caffe Protofiles for MSRA ResNet: train prototxt

SENet-Caffe

A Caffe Re-Implementation of SENet

resnet-face-pytorch

Training a ResNet on UMDFaces for face recognition

DN_CaffeScript

ResNeXt-1

Reproduce ResNet-v3(Aggregated Residual Transformations for Deep Neural Network) with Caffe

Triplet-Loss

Apply triplet loss to face recognition， adding new loss layer to the latest version of caffe.

caffe-mt

This is a fork of caffe added some useful layers, the original caffe site is https://github.com/BVLC/caffe.

lfw-evaluation-zyf