Pinned Repositories
movie_recommender
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
2018-CCF-BDCI-China-Unicom-Research-Institute-top2
2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名解决方案
Entity-Relation-Extraction
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
esfilesearch
file search by elasticsearch
fake-useragent
up to date simple useragent faker with real world database
Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
RippleNet
A tensorflow implementation of RippleNet
Spring-Boot-Neo4j-Movies
Spring-Boot集成Neo4j并利用Spark的朴素贝叶斯分类器实现基于电影知识图谱的智能问答系统
SwordForOffer
剑指Offer Python/Java/C++实现
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
shawbown's Repositories
shawbown/Entity-Relation-Extraction
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
shawbown/SwordForOffer
剑指Offer Python/Java/C++实现
shawbown/2018-CCF-BDCI-China-Unicom-Research-Institute-top2
2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名解决方案
shawbown/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
shawbown/RippleNet
A tensorflow implementation of RippleNet
shawbown/esfilesearch
file search by elasticsearch
shawbown/fake-useragent
up to date simple useragent faker with real world database
shawbown/Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
shawbown/tianchi_meinian_rank12_1st_season
shawbown/Spring-Boot-Neo4j-Movies
Spring-Boot集成Neo4j并利用Spark的朴素贝叶斯分类器实现基于电影知识图谱的智能问答系统
shawbown/movie_recommender
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。