Pinned Repositories
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scutjy2015@163.com 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
frac12's Repositories
frac12/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
frac12/awesome-ai-residency
List of AI Residency Programs
frac12/Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
frac12/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
frac12/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
frac12/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
frac12/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
frac12/DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
frac12/e-book
各方面的电子书籍
frac12/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。
frac12/Federated-Learning
联邦学习
frac12/Hands-On-Recommendation-Systems-with-Python
Hands-On Recommendation Systems with Python published by Packt
frac12/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
frac12/HyperNetX
Python package for hypergraph analysis and visualization.
frac12/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
frac12/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
frac12/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
frac12/machine-learning-interview
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
frac12/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
frac12/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/
frac12/MGradInv
frac12/ML-For-Beginners
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
frac12/ml-glossary
Machine learning glossary
frac12/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
frac12/Practical_RL
A course in reinforcement learning in the wild
frac12/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
frac12/Reco-papers
Classic papers and resources on recommendation
frac12/RSPapers
A Curated List of Must-read Papers on Recommender System.
frac12/statistic
collecting books, papers and docs.
frac12/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等