Boltzmann Machines in TensorFlow with Examples: RBM, DBM, AIS
Boltzmann Machines in TensorFlow with examples. Contribute to yell/boltzmann-machines development by creating an account on GitHub.
Boltzmann Machines in TensorFlow with Examples: RBM, DBM, AIS launched on November 19, 2017 with 201 votes, #148 of 3,137 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
This is a GitHub repository containing implementations of Boltzmann machines using TensorFlow, including Restricted Boltzmann Machines (RBM), Deep Boltzmann Machines (DBM), and Annealed Importance Sampling (AIS). It is designed for machine learning practitioners and researchers who want to understand and work with these probabilistic graphical models. The repository provides practical code examples that demonstrate how to build and train these neural network architectures.
written from the facts on this page · September 2026
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