This is Topic Modelling of Czech Supreme Court Decisions repository containing all the relevant data and code for the topic modelling of the Czech Supreme Court decisions with latent Dirichlet allocation (LDA) and non-negative matrix factorization (NMF) methods. This repository contains 5 Jupyter notebooks with all the relevant code for preprocessing of documents, training the models and their topics visualization via pyLDAvis using LDA and NMF methods.