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100-Days-Of-ML-Code中文版
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
大数据学习,从零开始学习大数据,包含大数据学习各阶段学习视频、面试资料
个人认为对技术提升很不错的书
Data competition Top Solution 数据竞赛top解决方案开源整理
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
深度学习相关
hand-on-ml 代码翻译
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Just have fun
2nd place solution🥕🥈
Kaggle | Instacart Market Basket Analysis🥕🥉
Code for the Kaggle Ensembling Guide Article on MLWave
Describe past Kaggle solutions
Machine Learning in Action(机器学习实战)
MachineLP CodeFun
机器学习笔记
XLNET句向量-相似度(text xlnet embedding),自然语言处理(nlp),闲聊机器人(检索式chatbot),BERT句向量-相似度(Sentence Similarity),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用
:book: 学习python过程中的知识积累
优秀代码阅读
推荐系统,ctr预估 demo
使用sklearn做特征工程
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.