fengyuxi55's Stars
dkozlov/awesome-knowledge-distillation
Awesome Knowledge Distillation
shamangary/SSR-Net
[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
yfeng95/PRNet
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
facebookresearch/mixup-cifar10
mixup: Beyond Empirical Risk Minimization
D-X-Y/landmark-detection
Four landmark detection algorithms, implemented in PyTorch.
hessamb/label-refinery
Label Refinery: Improving ImageNet Classification through Label Progression
natanielruiz/deep-head-pose
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
reminisce/mxboard-demo
statham-stone/MultiRunner
This is a python package for multi-process running.
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
fengju514/Face-Pose-Net
Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network
nylas/nylas-mail
:love_letter: An extensible desktop mail app built on the modern web. Forks welcome!
geeeeeeeeek/electronic-wechat
:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.
1adrianb/face-alignment
:fire: 2D and 3D Face alignment library build using pytorch
1adrianb/face-alignment-training
Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
takiyu/hyperface
Deep Neural Network (DNN) which predicts face/non-face, landmarks, pose and gender simultaneously with Chainer.
1adrianb/binary-human-pose-estimation
This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.
sourabhvora/HyperFace-with-SqueezeNet
Two multitasking CNNs for simultaneous face detection, landmarks estimation and visibility, pose estimation and gender recognition. hyperface.py concatenates feature maps from initial, mid and final layers of the network and then branches out to different heads. multiout.py branches from the final layer of the network to different heads. DataGen2.py is the Data Generator used for reading multiple labels from json files. It is a modified version of Keras's default Data Generator. The idea is based on the following paper - [1] R. Ranjan, V. M. Patel, and R. Chellappa. Hyperface: A deep multitask learning framework for face detection, landmark localization, pose estimation, and gender recognition. CoRR, abs/1603.01249, 2016. The implementation is slightly different. The original HyperFace architecture is built on top of AlexNet while the implementation here uses another architecture called SqueezeNet.
mrgloom/Face-landmarks-detection-benchmark
Face landmarks(fiducial points) detection benchmark
SinaHonari/RCN
The code for Recombinator Networks paper.
ralpguler/DenseReg
Code repository for DenseReg.
panda-lab/face-landmark
caffe 68 points face-landmark
MarekKowalski/DeepAlignmentNetwork
A deep neural network for face alignment
nashaofu/dingtalk
钉钉桌面版,基于electron和钉钉网页版开发,支持Windows、Linux和macOS
lucasb-eyer/BiternionNet
Code used to produce the results of the paper "BiternionNets: Continuous Head Pose Regression from Discrete Training Labels"
wenbochang888/zhihuImgSpider
爬知乎问答下面的所有图片
xlzd/zhfishhook
用技术方式炸鱼。
kong36088/BaiduImageSpider
一个超级轻量的百度图片爬虫
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more