Pinned Repositories
2018-08-14-04-15-45-1534220145
deeplearning.ai-Convolutional-Neural-Networks
Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course
demo
dm-clustering
DumplingRobot
imooc-springboot-starter
为慕课网录制的《SpringBoot 极速入门到整合》代码
JDD_Census
machine_learning_basics
Plain python implementations of basic machine learning algorithms
music_recommendation_2018
1.解析爬取到的Json歌单数据，并进行数据预处理。 2.基于Surprise推荐系统库，采用KNNBaseLine实现基于用户 的协同过滤歌曲推荐。3.借鉴Word2Vec算法**进行Song2Vec处理，实现基于物品的协同过滤歌曲推荐。 4.采用 TensorFlow实现基于LFM的歌曲推荐。
neural-networks-and-deep-learning
This is my assignment on Andrew Ng's course “neural networks and deep learning”
liujuxiu's Repositories
liujuxiu/DumplingRobot
liujuxiu/2018-08-14-04-15-45-1534220145
liujuxiu/deeplearning.ai-Convolutional-Neural-Networks
Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course
liujuxiu/demo
liujuxiu/dm-clustering
liujuxiu/imooc-springboot-starter
为慕课网录制的《SpringBoot 极速入门到整合》代码
liujuxiu/JDD_Census
liujuxiu/machine_learning_basics
Plain python implementations of basic machine learning algorithms
liujuxiu/music_recommendation_2018
1.解析爬取到的Json歌单数据，并进行数据预处理。 2.基于Surprise推荐系统库，采用KNNBaseLine实现基于用户 的协同过滤歌曲推荐。3.借鉴Word2Vec算法**进行Song2Vec处理，实现基于物品的协同过滤歌曲推荐。 4.采用 TensorFlow实现基于LFM的歌曲推荐。
liujuxiu/neural-networks-and-deep-learning
This is my assignment on Andrew Ng's course “neural networks and deep learning”
liujuxiu/RecommendSystemPractice
《推荐系统实践》代码实现
liujuxiu/RecSys
推荐系统实践(基于近邻和LFM的推荐系统)
liujuxiu/RNN-Active-User-Forecast
1st place solution for the Kuaishou Active-user Forecast competition
liujuxiu/shiyanloudemo
git课程测试
liujuxiu/sigir16-eals
Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "
liujuxiu/SSM
:two_hearts: build SSM from 0 👉🏽👉🏽 distributed micro service.
liujuxiu/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等