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mobilenet

MobileNet build with Tensorflow

mobilenet-caffe

Caffe Implementation of Google's MobileNets

mobilenet-coreml

The MobileNet neural network using Apple's new CoreML framework

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

models

Models and examples built with TensorFlow

msdnet

Multi-Scale Dense Convolutional Networks for Efficient Prediction

mtcnn

基于caffe的mtcnn训练实现，可以训练一个自己的有效的目标检测算法，非常容易非常简单，并且有配套的纯c++版本的mtcnn-light

mtcnn-1

mtcnn_caffe

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

mtcnn_face_detection_alignment

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

multicameratracking

Multi-camera tracking algorithm using OpenCv and intel IPP.

multitarget-tracker

Hungarian algorithm + Kalman filter multitarget tracker implementation.

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

mxnet2caffe

Convert MXNet model to Caffe model

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

openblas

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

opencv

Open Source Computer Vision Library

openface

Face recognition with deep neural networks.

opennpd

C++ detect and train of "A Fast and Accurate Unconstrained Face Detector".

openpose

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

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

overfeat

paddle

PArallel Distributed Deep LEarning

posit

Posit is a machine learning algorithm. It chooses the most advantageous output at each point in time based on observed data. Use at your own risk!

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

pytorchviz

A small package to create visualizations of PyTorch execution graphs

rcnn

R-CNN: Regions with Convolutional Neural Network Features

real_time_face_recognition

Real time face detection and recognition base on opencv/tensorflow/mtcnn/facenet

resnet

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet