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ai-basketball-analysis

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

basketballvideoanalysis

beauty_vision

Recognition of human faces attractiveness (SCUT-FBP dataset) in Python

caffe-face

This branch is developed for deep face recognition

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

ccdl

深度学习应用框架，专注于深度学习的工程应用

centerloss_caffe_mnist

It's the script of Center loss on mnist dataset running on Caffe.

clothingrecognition

A cloth matting project,which can take an image as input,and output a mask pointing out where the cloth region is.

cnnforandroid

The Convolutional Neural Network(CNN) for Android

cocoapi

COCO API - Dataset @ http://cocodataset.org/

codesnap

deepfashion

Apparel detection using deep learning

dface

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

face-rating

A machine learning model that predicts facial attractiveness from images

face_verification_experiment

A Light CNN for Deep Face Representation with Noisy Labels

facenet

Face recognition using Tensorflow

facenet_caffe

face recognition

faceverification

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

fast-reid

SOTA Re-identification Methods and Toolbox

firstrep

learning how to use github

fixed_point

C++ Binary Fixed-Point Arithmetic

head-pose-estimation-and-face-landmark

head pose estimation

inception-resnet-v2

Inception-resnet-v2 in Caffe

insightface

Face Recognition Project on MXNet

lfw_api

For better using Labeled Faces in the Wild Benchmark, I provide the code of three versions, namely C++, python and Octave.

mfixedpoint

32-bit and 64-bit fixed-point library for fast arithmetic operations. Suitable for performing computationally intensive operations on a computing platform that does not have a floating-point unit (like most smaller embedded systems, such as Cortex-M3, CortexM0, ATmega, PSoC 5, PSoC 5 LP, PSoC 4, Arduino platforms e.t.c). Common applications include BLDC motor control and image processing. Best performance on a 32-bit or higher architecture (although 8-bit architectures should still be fine).

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

mobile-deep-learning

This research aims at simply deploying CNN(Covolution Neural Network) on mobile devices, with low complexity and high speed.

mobile-id

MobileID: Face Model Compression by Distilling Knowledge from Neurons

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)