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ad-papers

Papers on Computational Advertising

caffe

Caffe: a fast open framework for deep learning.

cplusplusthings

C++那些事

deepctr-torch

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

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

deeprec

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

determined

Determined: Deep Learning Training Platform

dlperf

DeepLearning Framework Performance Profiling Toolkit

dmin

flink-recommandsystem-demo

:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。

heamy

A set of useful tools for competitive data science.

matrixslow

A simple deep learning framework in pure python for purpose of learning in DL

miniflow

Java implementation of miniFlow (deep neural network) with examples

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mlbench-benchmarks

Distributed ML Training Benchmarks

msnhnet

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

prophecis

Prophecis is a one-stop cloud native machine learning platform.

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

sparkctr

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

sparrowrecsys

A Deep Learning Recommender System

spring-boot-demo

该项目已成功集成 actuator(监控)、admin(可视化监控)、logback(日志)、aopLog(通过AOP记录web请求日志)、统一异常处理(json级别和页面级别)、freemarker(模板引擎)、thymeleaf(模板引擎)、Beetl(模板引擎)、Enjoy(模板引擎)、JdbcTemplate(通用JDBC操作数据库)、JPA(强大的ORM框架)、mybatis(强大的ORM框架)、通用Mapper(快速操作Mybatis)、PageHelper(通用的Mybatis分页插件)、mybatis-plus(快速操作Mybatis)、BeetlSQL(强大的ORM框架)、upload(本地文件上传和七牛云文件上传)、redis(缓存)、ehcache(缓存)、email(发送各种类型邮件)、task(基础定时任务)、quartz(动态管理定时任务)、xxl-job(分布式定时任务)、swagger(API接口管理测试)、security(基于RBAC的动态权限认证)、SpringSession(Session共享)、Zookeeper(结合AOP实现分布式锁)、RabbitMQ(消息队列)、Kafka(消息队列)、websocket(服务端推送监控服务器运行信息)、socket.io(聊天室)、ureport2(**式报表)、打包成war文件、集成 ElasticSearch(基本操作和高级查询)、Async(异步任务)、集成Dubbo(采用官方的starter)、MongoDB(文档数据库)、neo4j(图数据库)、docker(容器化)、JPA多数据源、Mybatis多数据源、代码生成器、GrayLog(日志收集)、JustAuth(第三方登录)、LDAP(增删改查)、动态添加/切换数据源、单机限流(AOP + Guava RateLimiter)、分布式限流(AOP + Redis + Lua)、ElasticSearch 7.x(使用官方 Rest High Level Client)、HTTPS、Flyway(数据库初始化)、UReport2(**式复杂报表)。

tinyflow

Tutorial code on how to build your own Deep Learning System in 2k Lines

xnet

Simple CuDNN wrapper