a562443831

a562443831's Stars

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  23.7k622764.7k

• electron-react-boilerplate/electron-react-boilerplate

  A Foundation for Scalable Cross-Platform Apps

  Language:TypeScript23.1k2791.9k3.8k

• ICT-BDA/EasyML

  Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.

  Language:Java2k145116440

• hongleizhang/RSAlgorithms

  Some algorithms about traditional and social recommendation.

  Language:Python6932911201

• xeneta/LeadQualifier

  :dart: Qualify sales leads with machine learning

  Language:Python643717105

• tao12345666333/tornado-zh

  中文版 Tornado 文档【WIP】

  Language:Python149131160

• HKUST-KnowComp/FMG

  KDD17_FMG

  Language:MATLAB137183055

• Roger-luo/YAAD.jl

  Implement you own AD in 300 loc

  Language:Julia79439

• xuChenSJTU/PMF

  This is a python code for probabilistic matrix factorization in recommendation.

  Language:Python561023

• lfz757077613/MyBlog

  练手工程，搭建高可用后端架构

  Language:Java392216

• Songbo729066989/recsys

  algorithms about recommender systems：probabilistic matrix factorization

  Language:Python253112

• IntuitiveWebSolutions/diffino

  Diffing tools for comparing datasets in CSV, XLSX and other formats

  Language:Python213109

• AlgorithmFan/GraphicalModelForRecommendation

  Graphical Model for Recommender Systems

  Language:Python19247

• Zinc-30/social-recommendation-using-matrix-factorization

  Language:Python192111

• xianhu/QPLda

  Lda Topic Model, Python

  Language:Python72011

• fisherinbox/hangzhou_house_knowledge

  2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

  Language:CSS2201

• Zinc-30/circleCon

  Language:Python1100