The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model types.
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Updated
Sep 22, 2024 - Python
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rbm-dbn
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Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
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Jul 17, 2017 - Jupyter Notebook
An pytorch implementation of Deep Belief Network with sklearn compatibility for classification. The training process consists the pretraining of DBN, fine-tuning as an unrolled autoencoder-decoder, and supervised fine-tuning as a classifier.
scikit-learn
sklearn
pytorch
autoencoder
restricted-boltzmann-machine
rbm
dbn
deep-belief-network
rbm-dbn
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Updated
Apr 6, 2023 - Python
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