qianrenliang

qianrenliang's Stars

• alibaba/x-deeplearning

  An industrial deep learning framework for high-dimension sparse data

  Language:PureBasic4.3k1k

• bwange/Item2vec_Tutorial_with_Recommender_System_Application

  Item2vec_tutorial_git

  Language:Jupyter Notebook10529

• lujiaying/MovieTaster-Open

  A practical movie recommend project based on Item2vec.

  Language:Python28091

• houshanren/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:CSS26.7k5.3k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.8k3.1k

• zhougr1993/DeepInterestNetwork

  Language:Python1.6k559

• gutouyu/ML_CIA

  公众号: 机器学习荐货情报局 所有代码

  Language:Python548295

• hongleizhang/RSPapers

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

  6.1k1.3k

• huihut/interview

  📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

  Language:C++34.5k7.9k

• JushuangQiao/Python-Offer

  《剑指Offer》面试题Python实现

  Language:Python2.2k598

• hsperr/first_steps_in_scala

  Language:Scala147

• mrthlinh/FIFA-World-Cup-Prediction

  Predict who will win the FIFA World Cup 2018

  Language:Jupyter Notebook6222

• itsmuriuki/FIFA-2018-World-cup-predictions

  I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

  Language:Jupyter Notebook164132

• YouChouNoBB/ijcai-18-top2-single-mole-solution

  复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征

  Language:Python684226

• sikaozhe1997/Xin-Yue

  岳昕：致北大师生与北大外国语学院的一封公开信

  Language:HTML7.6k942

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.4k25.3k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python29.8k8.1k

• taizilongxu/interview_python

  关于Python的面试题

  Language:Shell16.5k5.5k

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.5k3.8k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.2k22.1k

• zhanghang1989/PyTorch-Multi-Style-Transfer

  Neural Style and MSG-Net

  Language:Jupyter Notebook976207

• abhiskk/fast-neural-style

  pytorch implementation of fast-neural-style

  Language:Python42583

• WenDesi/lihang_book_algorithm

  致力于将李航博士《统计学习方法》一书中所有算法实现一遍

  Language:Python5.7k2k

• chucheng92/EasyJob

  :fire:interview handbook

  2.3k789

• wisewong/ImageStyleTransform

  基于深度学习的图像风格转换

  Language:Python9744

• hzy46/fast-neural-style-tensorflow

  A tensorflow implementation for fast neural style!

  Language:Python932361

• zzhoujay/LowPoly

  Low Poly风格图片生成器

  Language:Java35336

• brianway/java-learning

  旨在打造在线最佳的 Java 学习笔记，含博客讲解和源码实例，包括 Java SE 和 Java Web

  Language:Java4.2k1.2k

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.2k

• lanbing510/LianJiaSpider

  链家爬虫

  Language:Python673456