duanshaoyi Goto Github PK

ad-papers

Papers on Computational Advertising

algorithm-practice-in-industry

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

apachecn-dl-zh

ApacheCN 深度学习译文集

appbackend

bigdata_line

《hadoop权威指南》、《大数据架构师指南》、《大数据之路：阿里巴巴大数据实践》《Apache+Kylin权威指南》

coursera-dl-study-notes

从0学习深度学习课程，跟随Andrew Ng的Coursera课程，课后根据记忆用python代码实现课程作业

da-note

data-copilot

Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow

datascience

Curated list of Python resources for data science.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

ecommerce-marketing-spend-optimization

Marketing Budget Optimization for Online Retailers using AI & Machine Learning.

exercise

exercise for nndl

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

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.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

htcap_mysql

修改htcap的数据库为mysql

industrial-machine-learning

《工业机器学习算法详解与实战》完整代码

internet-advertising-mechanism-and-strategy

计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)

iterm2-color-schemes

Over 175 terminal color schemes/themes for iTerm/iTerm2 (with ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remina, Termite, XFCE, Tilda, and Terminator)

jdata-spark

JData算法大赛

json-java

A reference implementation of a JSON package in Java.

json1

json parser

markdown-resume-template

BAT程序员自己的简历模板分享出来了 。技术简历追求简单明了，避免没有必要的花哨修饰，大家可以fork到自己仓库中，基于这个模板进行修改。

mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

mirror_repository

Mirror Web App

ml-study

自己整理了一些ML入门的知识，以及ML项目中的一些经验总结分享

multi-arm_contextual_bandit_problem

Python implementation of Lihong Li (2012) Linear UCB Algorithm for Disjoint Linear Models

mygit

ola-project-

In this project, we developed the combinatorial bandit algorithms to solve an advertising problem

production-level-deep-learning

This repo attempts to serve as a guideline for building practical production-level deep learning systems to be deployed in real world applications.