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ai-job-notes icon ai-job-notes

AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)

ai-job-recommend icon ai-job-recommend

国内公司人工智能方向(含机器学习、深度学习、计算机视觉和自然语言处理)岗位的招聘信息(含全职、实习和校招)

article icon article

十大经典排序算法动画,看我就够了!

bat_interviews icon bat_interviews

:blue_book: 分享最新BAT面试题(包含机器学习,Linux,PHP,大数据,Python,Java,前端...),持续更新ing...

book icon book

Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)

duang icon duang

青菜萝卜博客系统V2.0

elasticctr icon elasticctr

ElasticCTR,即飞桨弹性计算推荐系统,是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务,帮助用户在Kubernetes环境中一键完成推荐系统部署,具备高性能、工业级部署、端到端体验的特点,并且作为开源套件,满足二次深度开发的需求。

god-of-bigdata icon god-of-bigdata

大数据面试题,大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...

huaweicloud-cs-sdk icon huaweicloud-cs-sdk

Huawei Cloud Stream Service SDK for Java and Scala. http://www.huaweicloud.com/product/cs.html

interpretdl icon interpretdl

InterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库

javaguide icon javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

jdk icon jdk

JDK源码(1.7/1.8/1.9),方便在没IDE时查看源码;可调式JDK源码的rt_debug.jar

leedeeprl-notes icon leedeeprl-notes

李宏毅《深度强化学习》笔记,在线阅读地址:https://datawhalechina.github.io/leedeeprl-notes/

leeml-notes icon leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

mi icon mi

2017**软件杯——安全可靠赛题2:分布式爬虫系统

models icon models

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)

oabs_tools icon oabs_tools

北京市预约挂号统一平台挂号小助手

paddle icon paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

paddleclas icon paddleclas

A treasure chest for image classification powered by PaddlePaddle

paddlehub icon paddlehub

Awesome pre-trained models toolkit based on PaddlePaddle.(180+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)

paddleocr icon paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (multilingual recognition: English, Chinese, Korean, Japanese, German, French etc. 3.5M practical ultra lightweight OCR system, support training and deployment among server, mobile, embedded and IoT devices)

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