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2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
Anomaly detection related books, papers, videos, and toolboxes
吴恩达老师的机器学习课程个人笔记
快速入门推荐算法/基于top-k的推荐赛——dressipi_recsys2022
This is an application project of 'chatgpt',only applicable to desktop environment.
本推荐算法教程主要是针对具有机器学习基础并想找推荐算法岗位的同学,教程由推荐算法基础、推荐算法入门赛、新闻推荐项目及推荐算法面经组成,形成了一个完整的从基础到实战再到面试的闭环。
教材对应的源码
华为状态码全天候自动查询脚本
Java相关知识总结,包括Java基础、MySQL、Springboot、mybatis、Redis、rabbitMQ等等,面试必备!
Kaggle入门之泰坦尼克号生还预测
1st place solution
刷题记录
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
该仓库主要记录 NLP 算法工程师相关的面试题
pytorch重新系统学习
Classic papers and resources on recommendation
《推荐系统开发实战》代码及勘误
Redis学习笔记,基于《Redis设计与实现》的内容,对Redis的基础知识进行总结
RNN based Time-series Anomaly detector model implemented in Pytorch.
东南大学十三届智能车校赛光电组程序
A Deep Learning Recommender System
天池智慧交通预测挑战赛解决方案
泰坦尼克号
Zotero translator中文网页抓取插件
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.