QYQ's repositories
pytorch-cifar
95.47% on CIFAR10 with PyTorch
GMS-Feature-Matcher
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
MTCNN_Tutorial
As a series of tutorials on the most popular deep learning algorithms for new-entry deep learning research engineers, MTCNN has been widely adopted in industry for human face detection task which is an essential step for subsquential face recognition and facial expression analysis. This tutorial is designed to explain how to implement the algorithm. In this tutorial, developers will learn how to build MTCNN model for face detection task.
opencv
Open Source Computer Vision Library
crnn.pytorch
PyTorch implementation of CRNN to do Image Text Recognition using nn.CTCLoss
darknet
Convolutional Neural Networks
caffe
Caffe: a fast open framework for deep learning.
MachineLearning
Machine Learning in Action（机器学习实战）
solid-waste-dataset
This is a solid point cloud dataset
deep-residual-networks
Deep Residual Learning for Image Recognition
DenseNetCaffe
Caffe code for Densely Connected Convolutional Networks (DenseNets)
Qix
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang