1.MALLET:实现语言,Java,实现模型,LDA,HLDA,Pachinko Allocation Model,此外,还实现了HMM,最大熵马尔科夫模型和条件随机场; 2.Shuyo的github代码:实现语言,Python,实现模型,LDA,Dirichlet Process Gaussian Mixture Model,online HDP,HDPLDA,Interactive Topic Model,Labeled LDA 地址:https://github.com/shuyo/iir/tree/master/lda 3.arongdari的github代码:实现语言,Python,实现模型,LDA,Correlated Topic Model,Relational topic model,Author-Topic model,HMM-LDA,Discrete Infinite logistic normal,Supervised Topic Model,Hierarchical Dirichlet process,Hierarchical Dirichlet scaling process 地址:https://github.com/arongdari/python-topic-model 4.Gensim:实现语言,Python,实现模型,LDA,Dynamic Topic Model,Dynamic Influence Model,HDP,LSI,Random Projections,深度学习的word2vec,paragraph2vec。 官网地址:http:///gensim/index.html github代码地址:https://github.com/piskvorky/gensim 5.ahmaurya的github代码:实现语言,Python,实现模型,Topic Over Time github代码地址:https://github.com/ahmaurya/topics_over_time 6.Blei实验室的代码:实现语言,Python,实现模型,online lda,online HDP,turbo topic model,topic model visualization engine,实现语言,C,实现模型,correlated topic model,discrete infinite logistic normal,HLDA,lda,实现语言C++,实现模型,ctr,class-slda,Dynamic Topic model and the influence model,实现语言R,实现模型 lda github代码地址:http://www.cs./~blei/topicmodeling_software.html 7.中国科学技术信息研究所徐硕老师的PDF,对LDA,TOT,AT模型如何使用gibbs sampling求参进行了细致推导,并依据求参结果给出伪代码。 |
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