GPU accelerated Deep Belief Network

DBN++ Data Structures and Algorithms in C++ for Dynamic Bayesian Networks

Classifies images using DBN (Deep Belief Network) algorithm implementation from Accord.NET library

Train a DBN to classify a set of test data similar to MNIST, Using DL4J & theano (Project of Pattern Recognition course)

vPaypal provides mobile payment with enhanced security and convenience by using voice recognition and voice control module.The system consists of a mobile app and a server.

Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.

A web app for training and analysing Deep Belief Networks

A framework that focuses on using bayesian and Dynamic Bayesian Networks to perform Learning from observation on Discrete Domains

Interface between a DBN model and CNN models to learn from demonstrations

The deeplearning algorithms implemented by tensorflow

https://github.com/mehulrastogi/Deep-Belief-Network-pytorch

From Markov Fields to Deep Belief Networks theory and experimentation on Google Landmark Recognition.

Daft wrapper for easily creating Dynamic Bayesian Network plots

The software includes a dynamic bayesian network with genetic feature space selection, includes 5 econometric data.frames with 263 time series.

RBM and DBN over MNIST dataset

AI model example

The DBN compiler translates DBN source into SVG source file. The resulting SVG source files can then be loaded and executed on any web browser. (Pet project)

A version of the learnergy package to deal with video datasets

A simple JavaScript compiler that compiles DBN like language (by MIT) and generates the corresponding shapes in the form of SVGs

A repository for generating synthetic data (images) using various DL/ML models.