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2018-ijcai-top3

This 2018 IJCAI alimama Top3 Code

ad-papers

Papers on Computational Advertising

age-gender-estimate-tf

Face age and gender estimate using TensorFlow

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

alibaba-technology-book-series

ansible-elasticsearch

Ansible playbook for Elasticsearch (multi-instance support fork)

ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

awesome-architecture

架构师技术图谱，助你早日成为架构师

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-elasticsearch

A curated list of the most important and useful resources about elasticsearch: articles, videos, blogs, tips and tricks, use cases. All about Elasticsearch!

awesome-search

Awesome Search - this is all about the (e-commerce) search and its awesomeness

bertsearch

Elasticsearch with BERT for advanced document search.

bigworld

123456

canal

阿里巴巴mysql数据库binlog的增量订阅&消费组件 。阿里云DRDS( https://www.aliyun.com/product/drds )、阿里巴巴TDDL 二级索引、小表复制powerd by canal. Aliyun Data Lake Analytics https://www.aliyun.com/product/datalakeanalytics powered by canal

cat

CAT 作为服务端项目基础组件，提供了 Java, C/C++, Node.js, Python, Go 等多语言客户端，已经在美团点评的基础架构中间件框架（MVC框架，RPC框架，数据库框架，缓存框架等，消息队列，配置系统等）深度集成，为美团点评各业务线提供系统丰富的性能指标、健康状况、实时告警等。

ccr

cross cluster replication

cerebro

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

ckoocml

机器学习项目

ckoocnlp

爬虫与机器学习

confluent-kafka-go

Confluent's Apache Kafka Golang client

crfsegment

用CRF++实现基于条件随机场模型的中文分词

dal

Ctrip Database Access Layer

data-science-notes

数据科学的笔记以及资料搜集

dazer

The Tensorflow implement of accepted ACL 2018 paper "A deep relevance model for zero-shot document filtering"

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deepctr

DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layer which can be used to build your own custom model easily.

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06