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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-ai-residency

List of AI Residency Programs

awesome-federated-learning

Federated Learning Library: https://fedml.ai

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

book

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

e-book

各方面的电子书籍

ebooks

eBook分享大集合：主要以IT领域经典书籍收藏，以备不时之需。

federated-learning

联邦学习

hands-on-recommendation-systems-with-python

Hands-On Recommendation Systems with Python published by Packt

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hypernetx

Python package for hypergraph analysis and visualization.

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

machine-learning-notes

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

mathematics-of-epidemics-on-networks

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/

mgradinv

ml-for-beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

ml-glossary

Machine learning glossary

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

practical_rl

A course in reinforcement learning in the wild

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

reco-papers

Classic papers and resources on recommendation

rspapers

A Curated List of Must-read Papers on Recommender System.

statistic

collecting books, papers and docs.