HelloWorld19930113

HelloWorld19930113

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data-science-introduction-with-python

Python 数据科学导论 | Data Science Introduction with Python

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Data-Science-Notes

数据科学的笔记以及资料搜集

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fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

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Halfrost-Field

✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地

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Ad-papers

Papers on Computational Advertising

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AI-RecommenderSystem

该仓库尝试整理推荐系统领域的一些经典算法模型

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deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

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deep_learning

基础的深度学习实验研究结果汇总笔记

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DeepRec

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

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dpp

DPP算法实现

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fun-rec

推荐系统中文教程

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gradnorm_tf

TensorFlow implementation of GradNorm

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mall-learning

mall学习教程,架构、业务、技术要点全方位解析。mall项目(25k+star)是一套电商系统,使用现阶段主流技术实现。 涵盖了SpringBoot2.1.3、MyBatis3.4.6、Elasticsearch6.2.2、RabbitMQ3.7.15、Redis3.2、Mongodb3.2、Mysql5.7等技术,采用Docker容器化部署。

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newbee-mall

newbee-mall 项目(新蜂商城)是一套电商系统,包括 newbee-mall 商城系统及 newbee-mall-admin 商城后台管理系统,基于 Spring Boot 2.X 及相关技术栈开发。 前台商城系统包含首页门户、商品分类、新品上线、首页轮播、商品推荐、商品搜索、商品展示、购物车、订单结算、订单流程、个人订单管理、会员中心、帮助中心等模块。 后台管理系统包含数据面板、轮播图管理、商品管理、订单管理、会员管理、分类管理、设置等模块。

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rec_now

recommend now (rec_now) 是一个推荐算法的基础库,目的在于简化推荐模型的开发。 本项目基于tensorflow2和python3实现,兼容使用tensorflow1.x API的[无量训练框架](https://git.woa.com/deep_learning_framework/NumerousTensorFlow),并在生产环境中得到了充分验证。 其中,基于in-batch方式计算pairwise的方式,已经在QQ浏览器信息流的精排、粗排、召回排序等环节得到了广泛应用,并使得在线GAUC指标提升1%以上。

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Reco-papers

Classic papers and resources on recommendation

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RecSysDevCode

《推荐系统开发实战》代码及勘误

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sladeRode

Java基础知识应知应会

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SparkCTR

CTR prediction model based on spark(LR, GBDT, DNN)

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SparrowRecSys

A Deep Learning Recommender System

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submarine

Submarine is Cloud Native Machine Learning Platform.

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tensorflow_practice

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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translations

🐼 Chinese translations for classic IT resources

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WSDM-Adhoc-Document-Retrieval

This is our solution for WSDM - DiggSci 2020. We implemented a simple yet robust search pipeline which ranked 2nd in the validation set and 4th in the test set. We won the gold prize at innovation track and bronze prize at dataset track.

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zsxq

:books: 知识星球精华整理

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