Pinned Repositories
ai-learning-roadmap
Ai Learning Roadmap based on lots of open course sources and book materials. 我总结的 AI 学习路径。
awesome-java-books
Java开发者技术书籍大全 - Java入门书籍，Java基础及进阶书籍，框架与中间件，架构设计，设计模式，数学与算法，JVM周边语言，项目管理&领导力&流程，职业素养与个人成长，格局与视野，面试参考书等。
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
caffe
Caffe: a fast open framework for deep learning.
clockwork-fcn
Clockwork Convnets for Video Semantic Segmenation
cool-open-sharings
Sharing open source projects, books, or articles in this repo. All sharings will be firstly released in "isn't it cool" 我的公众号《是不是很酷》中的子栏目《【是不是很酷】开源资源 分享》文章和相关资源链接备份。
ExitLag-Free-Crack
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
kidd0071
1
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
kidd007's Repositories
kidd007/ExitLag-Free-Crack
kidd007/ai-learning-roadmap
Ai Learning Roadmap based on lots of open course sources and book materials. 我总结的 AI 学习路径。
kidd007/awesome-java-books
Java开发者技术书籍大全 - Java入门书籍，Java基础及进阶书籍，框架与中间件，架构设计，设计模式，数学与算法，JVM周边语言，项目管理&领导力&流程，职业素养与个人成长，格局与视野，面试参考书等。
kidd007/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
kidd007/caffe
Caffe: a fast open framework for deep learning.
kidd007/clockwork-fcn
Clockwork Convnets for Video Semantic Segmenation
kidd007/cool-open-sharings
Sharing open source projects, books, or articles in this repo. All sharings will be firstly released in "isn't it cool" 我的公众号《是不是很酷》中的子栏目《【是不是很酷】开源资源 分享》文章和相关资源链接备份。
kidd007/image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
kidd007/kidd0071
1
kidd007/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
kidd007/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
kidd007/Rule-based_Expert_System
:mortar_board::dolphin:Course Project: Artificial Intelligence
kidd007/tf-keras-SegNet
SegNet including indices pooling for Semantic Segmentation with tensorflow and keras