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100-days-of-ml-code

100 Days of ML Coding

2018-java-interview

经历过阿里、头条、京东、去哪儿洗礼之后的2018年最新Java面试宝典(**java)

any-video

Spring Boot 结合网络爬虫开发的完整视频网站，演示地址：http://www.ictgu.cn

awesome-java-cn

Java资源大全中文版，包括开发库、开发工具、网站、博客、微信、微博等，由伯乐在线持续更新。

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

aws.signature

Amazon Web Services Request Signatures

best-practice-for-building-a-startup-in-delaware-with-tech-tools

美国华人技术创业的快速公司/银行/税务/投资操作白皮书

blockchain_guide

Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.

competition-baseline

数据科学竞赛各种baseline代码、思路分享

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

ctr_prediction

CTR prediction using FM FFM and DeepFM

data-science-notes

数据科学的笔记以及资料搜集

datax-web

DataX集成可视化页面，选择数据源即可一键生成数据同步任务，支持RDBMS、Hive、HBase、ClickHouse、MongoDB等数据源，批量创建RDBMS数据同步任务，集成开源调度系统，支持分布式、增量同步数据、实时查看运行日志、监控执行器资源、KILL运行进程、数据源信息加密等。

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep_learning

基础的深度学习实验研究结果汇总笔记

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deeplearning

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

ex-baiduyunpan

百度云盘、百度云盘企业版解除大文件限制，批量复制链接

faiss

A library for efficient similarity search and clustering of dense vectors.

fanqiang

翻墙-科学上网

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature-engineering-for-ml-zh

:book: [译] 面向机器学习的特征工程

fraud-detection-demo

Repository for Advanced Flink Application Patterns series

free-programming-books

:books: Freely available programming books

free-ss.site

关于 free-ss.site 网站的介绍

fregata

A light weight, super fast, large scale machine learning library on spark .

graphembedding

Implementation and experiments of graph embedding algorithms.

grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)