cossio/RestrictedBoltzmannMachines.jl
Train and sample Restricted Boltzmann machines in Julia
This project helps researchers and data scientists build and train Restricted Boltzmann Machines (RBMs), a type of probabilistic model. You provide data, and the RBM learns to represent its underlying patterns, which can then be used to generate new, similar data or analyze existing data. It's for anyone working on generative modeling, data analysis, or machine learning research.
Use this if you need to develop and experiment with various configurations of Restricted Boltzmann Machines for tasks like generative modeling or data pattern learning.
Not ideal if you're looking for an out-of-the-box solution for common supervised learning tasks like classification or regression, as RBMs are typically generative models.
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Jupyter Notebook
License
MIT
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Last pushed
Mar 18, 2026
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