This repository provides generic and flexible implementations of Restricted Boltzmann Machines (RBM) and Deep Boltzmann Machines (DBM) using TensorFlow. It reproduces experiments from academic papers on deep learning and energy-based models, supporting variants like CD-k, PCD, and annealed importance sampling. The library offers a scikit-learn compatible API with extensive features for training and sampling.