gibbs-sampling topic
probabilistic-models
Collection of probabilistic models and inference algorithms
LFTM
Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
boltzmann-machines
Boltzmann Machines in TensorFlow with examples
LDAGibbsSampling
Open Source Package for Gibbs Sampling of LDA
lda-topic-modeling
A PureScript, browser-based implementation of LDA topic modeling.
Labeled-LDA-Python
Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
PyLDA
A Latent Dirichlet Allocation implementation in Python.
Text-Analysis
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
BayesTyper
A method for variant graph genotyping based on exact alignment of k-mers