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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
List of AI Residency Programs
Federated Learning Library: https://fedml.ai
A curated list of awesome Machine Learning frameworks, libraries and software.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
各方面的电子书籍
eBook分享大集合:主要以IT领域经典书籍收藏,以备不时之需。
联邦学习
Hands-On Recommendation Systems with Python published by Packt
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Python package for hypergraph analysis and visualization.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
🏅 Collection of Kaggle Solutions and Ideas 🏅
A complete daily plan for studying to become a machine learning engineer.
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 . Documentation for the software package is at https://epidemicsonnetworks.readthedocs.io/en/latest/
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
Machine learning glossary
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A course in reinforcement learning in the wild
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Classic papers and resources on recommendation
A Curated List of Must-read Papers on Recommender System.
collecting books, papers and docs.
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.