michaelldd Goto Github PK

data-mining-papers

collection of data mining papers and notes

data-science-notes

数据科学的笔记以及资料搜集

datamining

My data mining code！

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deepaudioclassification

Finding the genre of a song with Deep Learning

deepctr

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

deepctr-torch

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

deepctr_scala

deepfm_with_pytorch

A PyTorch implementation of DeepFM for CTR prediction problem.

deeplearning

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepwalk

DeepWalk - Deep Learning for Graphs

devbooks

2021面试题，Java面试题、JVM面试题、多线程面试题、并发编程、设计模式面试题、SpringBoot面试题、SpringCloud面试题、MyBatis面试题、ZooKeepe面试题r、Dubbo面试题、Elasticsearch面试题、Memcached面试题、MongoDB面试题、Redis面试题、MySQL面试题、RabbitMQ面试题、Kafka面试题、Linux面试题、Netty面试题、Tomcat面试题、Python面试题

dissolve-struct

Distributed solver library for large-scale structured output prediction, based on Spark. Project website:

dmp-init

dmp_logcollector

日志收集

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

douban-recommender

基于Spark ML实现的豆瓣电影推荐系统

dubbo

:loudspeaker: Dubbo is a distributed, high performance RPC framework enpowering applications with service import/export capabilities.

e3mall

宜立方商城，完整代码 + 资源，java + spring + springmvc + mybatis 实现

easy-algorithm-interview-and-practice

easyrec

easyrec

esp8266_artnetnode_v2

ESP8266 based WiFi ArtNet to DMX, RDM and LED Pixels

fastfm

fastFM: A Library for Factorization Machines

flink-learning

flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

garvinbook

《机器学习实践应用》一书代码

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

genderrecognition

google-access-helper

谷歌访问助手破解版