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dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

dlaicourse

Notebooks for learning deep learning

dm004

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

flask-blog

simple blog engine written on Flask

flask_blog

new blog made by flask

flask_pure

A pure theme powered by flask

flaskweb

This is a web flask project

fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

free-programming-books

:books: Freely available programming books

grokking_algorithms

Code for the book Grokking Algorithms (http://manning.com/bhargava)

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

hadoopwithpython

Repository for Hadoop with Python including example source code

hands_on_ml_with_sklearn_and_tf

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

hello-world

Just try to understand the Github

jdata

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

kaggle

This is for Kaggle storeage

kaggle-past-solutions

A searchable compilation of Kaggle past solutions

kaggle_titanic

the data and ipython notebook of my attempt to solve the kaggle titanic problem

kwaisurvival

learning-spark

Example code from Learning Spark book

learningpyspark

Code base for the Learning PySpark book (in preparation)

learnpython

以撸代码的形式学习Python

leetcode

正确的姿势，学习的态度来刷 LeetCode：高效的代码、简洁的注释、精炼的总结。

leetcode-1

leetcode for scala

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

line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

list_of_recommender_systems

A List of Recommender Systems and Resources