luxace Goto Github PK
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luxace's Projects
100-days-of-ml-code-chinese-version
Chinese Translation for Machine Learning Infographics
adv-r
Advanced R programming: a book
adversarialnetspapers
The classical papers and codes about generative adversarial nets
alexnet_with_tensorflow
an implement of AlexNet with tensorflow, which has a detailed explanation.
algorithm_interview_notes-chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
algorithmsbypython
算法/数据结构/Python/剑指offer/机器学习/leetcode
algs4
Algorithms, 4th edition textbook code and libraries
ant-design-pro
👨🏻💻👩🏻💻 Use Ant Design like a Pro!
bat_interviews
:blue_book:分享最新BAT面试题(包含机器学习,Linux,PHP,大数据,Python,Java,前端...),持续更新ing...
bigdata_interview_notes
这里主要是记录在秋招面试过程中准备的东西, 记录下来,以便以后有用
bigdl
BigDL: Distributed Deep Learning Library for Apache Spark
blog
个人技术博客，博文写在 Issues 里。
caffe
Caffe: a fast open framework for deep learning.
chinesecodinginterviewappendix
The source code for the appendix part of the Chinese version of the book Coding Interviews
codeguide
:books: 本代码库是作者小傅哥多年从事一线互联网 Java 开发的学习历程技术汇总，旨在为大家提供一个清晰详细的学习教程，侧重点更倾向编写Java核心内容。如果本仓库能为您提供帮助，请给予支持(关注、点赞、分享)！
coursera-ml-andrewng-notes
吴恩达老师的机器学习课程个人笔记
d2l-zh
《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。
decanlp
The Natural Language Decathlon: A Multitask Challenge for NLP
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
deepinterests
深度有趣
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
deeplearningbook-chinese
Deep Learning Book Chinese Translation
deeplearntoolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
distributetensorflowexample
distribute tensorflow example
documentconversion
Convert MS Word document to XML and then convert XML to PDF
dynet
DyNet: The Dynamic Neural Network Toolkit
easy_seq2seq
[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq
efficient-mobile-web-fe-development
《移动Web前端高效开发实战》书籍源码
eladmin
项目基于 Spring Boot 2.1.0 、 Jpa、 Spring Security、redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由
fast-neural-style-tensorflow
A tensorflow implementation for fast neural style!
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