dbn

ljzycmd/SimDeblur

Simple framework for image and video deblurring, implemented by PyTorch

gugarosa/learnergy

💡 Learnergy is a Python library for energy-based machine learning models.

AmanPriyanshu/Deep-Belief-Networks-in-PyTorch

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.

rodrigosetti/dbn-cuda

GPU accelerated Deep Belief Network

kaushiksk/RBM_DBN

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

AlvinLXS/DBN-and-RBM-in-pytorch

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

SeonghoBaek/RealtimeCamera

Open DRUWA - Open Deep Realtime User Welcoming Assistant

thiagopbueno/dbn-pp

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

lzhbrian/RBM-DBN-theano-DL4J

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

szbartnik/DeepLearning

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

yonseicasl/Nebula

Nebula: Lightweight Neural Network Benchmarks

SuperXiang/vPaypal-Payment-System

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.

ercarpio/DBN_CNN_LFD

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

snakeriver01/forecasting-time-series-with-genetic-dynamic-bayesian-networks

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

juliusHuelsmann/pyDbn

Daft wrapper for easily creating Dynamic Bayesian Network plots

athiyadeviyani/tia-net

Tia's implementation of Neural Network Architectures from scratch

amoustakis/Machine-Learning-and-Stochastic-Processes-projects

A series of 12 assignments/labs regarding Stochastic Processes and Machine Learning including a plethora of models and techniques implemented in Google Colab notebooks

gugarosa/dbn_tuning

📄 Official implementation regarding the chapter "Fine-Tuning Deep Belief Networks with Harmony-Based Optimization".

OleguerCanal/Toy-DeepLearning-Framework

Simple Keras-inspired DeepLearning Framework implemented in Python with Numpy backend: MLP, CNN, RNN, RBF, SOM, DBN...

RRS-Project/svg

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

ttom525tw/keras_deeplearningwithAI_model

AI model example

0xdw/dbn-compiler

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)

AdarshSai/RBM-and-DBN-on-MNIST

RBM and DBN over MNIST dataset

alecruces/FashionDBN

Uncover the secrets of deep learning with FashionDBN - implementing PyTorch's Deep Belief Network for accurate image classification and beyond.

MateusRoder/learnergy4video

A version of the learnergy package to deal with video datasets

YichenTang97/DBN_Autoencoder_Classifier

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.

AMfeta99/Face-img-video-based-drowsiness-recognition

This repository is dedicated to my collaboration in the "AUTOMOTIVE" Project. This project's objective is to development automatic face image/video-based drowsiness recognition.

erathorn/Interventional

ggiuffre/DBNsim

A web app for training and analysing Deep Belief Networks

gregschuit/Proyecto-IIC3695

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

Tristan-Amadei/DeepLearning-GenAI

Utilisation de modèles génératifs comme tâche prétexte pour pré-entrainement de DNN pour classification.

AmanPriyanshu/SynthesizeDaten

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

Baha2rM98/Cognition_and_Computation_Project

Cognition and Computation Course Project

insung3511/ecg-dbn

ECG Classification of Normal and Abnormal with GB-DBN Model (pytorch)

sachag678/LFO_Framework

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