Pinned Repositories
AndroidTutorial
你對「Tutorial」有什麼樣的感覺？每一種技術的Tutorial都告訴你這是學習的開始，不過最後好像都會變成折磨的開始。或許可以找出一種方式，讓Tutorial變成大家會很想要點它的超連結！
caffe
Caffe: a fast open framework for deep learning.
docker_images
Various docker images for personal use
docker_practice
Learn and understand Docker technologies, with real DevOps practice!
houshanren
leopardpan.github.io
个人博客，看效果进入
Markdown
Markdown 基本语法。
qiubaiying.github.io
BY Blog ->
README
README文件语法解读，即Github Flavored Markdown语法介绍
TensorRT_Tutorial
he-chen's Repositories
he-chen/caffe
Caffe: a fast open framework for deep learning.
he-chen/docker_images
Various docker images for personal use
he-chen/docker_practice
Learn and understand Docker technologies, with real DevOps practice!
he-chen/houshanren
he-chen/leopardpan.github.io
个人博客，看效果进入
he-chen/Markdown
Markdown 基本语法。
he-chen/qiubaiying.github.io
BY Blog ->
he-chen/README
README文件语法解读，即Github Flavored Markdown语法介绍
he-chen/TensorRT_Tutorial
he-chen/AndroidTutorial
你對「Tutorial」有什麼樣的感覺？每一種技術的Tutorial都告訴你這是學習的開始，不過最後好像都會變成折磨的開始。或許可以找出一種方式，讓Tutorial變成大家會很想要點它的超連結！
he-chen/Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers.
he-chen/data-analysis
Algorithms for Data Analysis course materials, composed of slides and Jupyter notebooks for practical sessions.
he-chen/DataMiningAlgorithm
数据挖掘18大算法实现以及其他相关经典DM算法
he-chen/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
he-chen/he-chen.github.io
Blog
he-chen/hpp
High Performance Programming
he-chen/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining techniques to Deep Learning.
he-chen/P05
he-chen/ResumeSample
Resume template for Chinese programmers . 程序员简历模板系列。包括PHP程序员简历模板、iOS程序员简历模板、Android程序员简历模板、Web前端程序员简历模板、Java程序员简历模板、C/C++程序员简历模板、NodeJS程序员简历模板、架构师简历模板以及通用程序员简历模板
he-chen/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)