Open Source Package for Gibbs Sampling of LDA

Implement face recognition using PCA, LDA and LPP

Short Text Topic Modeling, JAVA

Implementations of various fast parallelized samplers for LDA, including Partially Collapsed LDA, Light LDA, Partially Collapsed Light LDA and a very efficient Polya-Urn LDA

A Java package for the LDA and DMM topic models

把李航老师《统计学习方法》的后几章的算法都用java实现了一遍，实现盒子与球的EM算法，扩展到去GMM训练，后来实现了HMM分词（实现了HMM分词的参数训练）和CRF分词（借用CRF++训练的参数模型），最后利用tensorFlow把BiLSTM+CRF实现了，然后为lucene包装了一个XinAnalyzer

Knowledge Graph Embedding LDA. AAAI 2017

对 Hankcs 编写的 LDA4j 项目的进一步包装。添加了对训练出的 LDA 模型的存储和读取，简化了 LDA 的使用到 2 个步骤：训练 和 预测。

A consolidated collection of topic model implementations

Extracting Hidden Topics from Texts using LDA Model

PROMOSS official

Compute topics for a corpus of documents using Spark.

This is the testing program for the model2 in project Advanced Chinese LDA.

A topic modelling toolkit that can collect, pre-proccess, generate topic models, and visualize them through a Graphical User Interface in Python.

This is Tianyu Hong's first version of a program using LDA to predict Chinese message.

Improving Topic Models with Word Embeddings

A program that using a self-designed LDA model as well as the normal LDA model to do the prediction

Topic modeling with latent Dirichlet allocation using Gibbs sampling in Scala and Apache Spark

Data Mining Algorithms and Implementation of libraries.

lda_blog_topic_prediction