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face-alignment-at-3000fps

C++ implementation of Face Alignment at 3000 FPS via Regressing Local Binary Features

face-landmark

caffe 68 points face-landmark

face-landmark-localization

cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).

face.evolve.pytorch

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

faceboxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

facedatasets

Some scripts to process face datasets.

facedetec_3000fps_warp

FaceDetec_3000fps_warp

facedetectalignment

facedetect and alignment

facerecogntion

FaceRecogntion Datasets EvaluaeAlgorithm

faciallandmark_caffe

Facial Landmark Detection with Caffe CNN. Face alignment avaiable.

faster-rcnn-cplusplus2

faster-rcnn c++ python model

faster_rcnn_cplusplus_vs2013

faster-rcnn_VS2013with C++

ferplus

This is the FER+ new label annotations for the Emotion FER dataset.

friggavision

Caffe DeepID implement with Webface dataset

gansnroses

Official PyTorch repo for GAN's N' Roses. Diverse im2im and vid2vid selfie to anime translation.

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

hyperdl-tutorial

深度学习教程整理 | 干货

insightface

Face Recognition Project on MXNet

jda

C++ implementation of Joint Cascade Face Detection and Alignment.

joint_bayesian

kaldi

This is now the official location of the Kaldi project.

kcf

Kernelized Correlation Filter tracker

largemargin_softmax_loss

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

learnpaddle

学习Paddle的笔记,博客地址:http://blog.csdn.net/qq_33200967

leetcode-practices

leetcode practices from https://github.com/afatcoder/LeetcodeTop

lfw-benchmark

lfw face-recognition

libfacedetection

A binary library for face detection in images. You can use it free of charge with any purpose.

linux-command

Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv5. MNN, NCNN, TNN, ONNXRuntime.

mini-caffe

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.