Pinned Repositories
autoencoder
个人练习，自编码器及其变形（理论+实践）
course-recommendation-system
Personalized course recommendation system----R language
crab
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
document-similarity
Document Similarity using Word2Vec
document_similarity_algorithms_experiments
Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.
machine-learning-with-python-cookbook-notes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
movieRecommendation
本项目使用两种算法来实现一个电影推荐系统，一个是CNN，另一个是矩阵分解的协同过滤。
movies_recommend_system
电影推荐系统
recommenders
Best Practices on Recommendation Systems
sentence-similarity
对四种句子/文本相似度计算方法进行实验与比较
Ligev587's Repositories
Ligev587/crab
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
Ligev587/movieRecommendation
本项目使用两种算法来实现一个电影推荐系统，一个是CNN，另一个是矩阵分解的协同过滤。
Ligev587/movies_recommend_system
电影推荐系统
Ligev587/recommenders
Best Practices on Recommendation Systems
Ligev587/sentence-similarity
对四种句子/文本相似度计算方法进行实验与比较
Ligev587/autoencoder
个人练习，自编码器及其变形（理论+实践）
Ligev587/course-recommendation-system
Personalized course recommendation system----R language
Ligev587/document-similarity
Document Similarity using Word2Vec
Ligev587/document_similarity_algorithms_experiments
Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.
Ligev587/machine-learning-with-python-cookbook-notes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
Ligev587/MovieRecommend
一个电影推荐系统
Ligev587/MovieRecommendation-1
UserCF和ItemCF协同过滤推荐算法的实现
Ligev587/mrec
A recommender systems development and evaluation package by Mendeley
Ligev587/nlp_xiaojiang
自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用
Ligev587/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Ligev587/python-recsys
A python library for implementing a recommender system
Ligev587/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
Ligev587/pythonscience
由机械工业出版社出版的python金融大数据分析，python学习手册三本经典书籍以及利用python进行数据分析机器代码。
Ligev587/RecommendationEngine
[Deprecated] An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis
Ligev587/RecommenderSystems
Ligev587/recsys_core
[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).
Ligev587/RSPapers
Must-read papers on Recommender System.
Ligev587/spotlight
Deep recommender models using PyTorch.
Ligev587/text_analysis_tools
中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词）
Ligev587/TextSimilarity
CCF竞赛 “技术需求”与“技术成果”项目之间关联度计算模型 baseline 0.68541449
Ligev587/word2vec_n_autoencoder