A Toolkit for Industrial Topic Modeling

High performance topic modeling for Ruby

Using latent Dirichlet allocation (LDA) in Apache Lucene

Implementations of various online inference algorithms for LDA, with Python interface.

An implementation of GPU LDA estimate algorithms

Topic Modeling using LDA with the help of gensim and spacy.

a fast Cpp-implementation Hierarchy Latent Dirichlet Allocation algorithm, can aggregate stop-words/meaningless-high-frequency-words into "common-topic"(a rubbish words bucket) and generate K(number of topics you set) more pure "special-topics".

A LDA demo for various inference algorithms

Topic Modeling with Logical Constraints on Words

Very simple LDA implementation.

A time series analysis method using Shapelets and Fischer Linear Discriminant.

Fuzzy Approach to LDA topic modeling

parallel inference for latent Dirichlet allocation