Implementing inference methods for Latent Dirichlet Allocation model. This repo is for study purposes.
The purpose of this repository is to serve as a study material for those interested in learning and coding inference methods for probabilistic models. As a case study, we will focus on the Dirichlet Allocation model proposed by Blei et. al (2003).
We will be implementing the following inference methods:
- MCMC
- Gibbs sampling
- Hamiltonian Monte Carlo
- Variational Inference