Pinned Repositories
AdvancedEAST
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.
AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Cifar-10
classify images of cifar-10 dataset
cifar10-gluon
Gluon implement of Kaggle cifar10 competition
CIFAR10_mxnet
使用mxnet编写的kaggle CIFAR10比赛的代码
CIFAR_TensorFlow
TensorFlow官方代码,由于兼容问题,做了一些bug修改。
Cinderella
软件开发综合项目——辛德瑞拉婚纱礼服定制网站,使用SSM框架和Maven管理工具,开发环境为Eclipse Jee Photon,数据库使用MySQL
Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Simple-SSM
史上最简单的spring+springMVC+mybaits整合SSM框架
FranklyCui's Repositories
FranklyCui/Face-detection-with-mobilenet-ssd
Face detection with mobilenet-ssd written by Keras.
FranklyCui/CIFAR10_mxnet
使用mxnet编写的kaggle CIFAR10比赛的代码
FranklyCui/ML_in_action
used to store practice codes in the process of reading this book
FranklyCui/SSM_HRMS
一个用于练手的SSM小项目,从数据库表的SQL语句,后台DAO层代码编写,前端使用Bootstrap3搭建一个简单的后台页面,数据的CRUD通过SSM框架进行完成,可以很好地用来巩固和复习应用SSM框架做项目的过程。
FranklyCui/ehealth_start
一个简单的女性医疗网站
FranklyCui/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
FranklyCui/MachineLearning-1
Machine Learning in Action(机器学习实战)
FranklyCui/models
Models and examples built with TensorFlow
FranklyCui/notes-python
中文 Python 笔记
FranklyCui/AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
FranklyCui/deep-learning-with-keras-notebooks
Jupyter notebooks for using & learning Keras
FranklyCui/tutorials
机器学习相关教程
FranklyCui/ResNet
Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet
FranklyCui/tensorflow-tutorial
TensorFlow and Deep Learning Tutorials
FranklyCui/cifar10-gluon
Gluon implement of Kaggle cifar10 competition
FranklyCui/CIFAR_TensorFlow
TensorFlow官方代码,由于兼容问题,做了一些bug修改。
FranklyCui/Deep-Learning-Tricks
Enumerate diverse machine learning training tricks.
FranklyCui/Keras-Tutorials
Keras-Tutorials
FranklyCui/news