mlearing Goto Github PK

followers: 11.0 following: 1.0 repos: 65.0 gists: 0.0

Name: ML.Designer

Type: User

Company: Guangxi University

Bio: Artificial intelligence related research, involving Machine learning, Deep learning and Computer vision

Location: College of Computer and Electronic Information, Guangxi University, Nanning, China

Blog: www.learncv.cn

ML.Designer's Projects

ants-1.9.x-linux

Nipype-N4BiasFieldCorrection-Bin, The files has made in bin

boost-python-examples

Implementation of C++ Boost Python Examples, With python3.5+ support

c-easypr

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

c-hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

c-pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials. 《Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs》

caffe-cascadecnn

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

cardiac-mri-segmentation

https://www.sohu.com/a/193020221_798050

darkflow-yolo-v1-v2

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

hyperdl-tutorial

深度学习教程整理 | 干货

keras-alexnet

Set up Alexnet to perform gender recognition and gesture prediction based on face，AlexNet: ImageNet Classification with Deep Convolutional Neural Networks

keras-brain-segmentation

This is a repository containing code to Paper 3D Dense-Unet for MRI brain tissue segmentation (that hopefully will be) published on TSP 2018 conference.

keras-brats-improved-unet3d

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

keras-contrib

Keras community contributions (eg:common normalization, crf ...... )

keras-deeplab-v3-plus

deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

keras-deform-conv-3d

3D Deformable Convolution Network

keras-densenet

DenseNet implementation in Keras

keras-dropblock

DropBlock:A regularization method for convolutional networks

keras-enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation, web:https://blog.csdn.net/u011974639/article/details/78956380

keras-faster-rcnn

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

keras-fcn

Fully Convolutional Networks for Semantic Segmentation

keras-focal-loss

Focal Loss for Dense Object Detection

keras-googlenet-inception-v4

inceptionV4: Inception-ResNet and the Impact of Residual Connections on Learning，Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)