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GitHub topics: restricted-boltzmann-machine

samanipour/generative-deep-belief-network

Generative Deep Belief Network (DBN) and Restricted Boltzmann Machine (RBM). Use DBN and RBMs for imange feature detection and then use them as generative model to generate new images (like GANs)

Language: Jupyter Notebook - Size: 43.9 KB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0

PIQuIL/QuCumber

Neural Network Many-Body Wavefunction Reconstruction

Language: Python - Size: 143 MB - Last synced: 5 days ago - Pushed: about 1 month ago - Stars: 170 - Forks: 31

vinhphuctr/Movie_recommendations_with_RBMs

Using Restricted Boltzmann Machine model for movie recommendations

Language: Jupyter Notebook - Size: 48.8 KB - Last synced: 8 days ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0

accel-brain/accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Language: Python - Size: 98.3 MB - Last synced: 28 days ago - Pushed: 5 months ago - Stars: 298 - Forks: 92

srp98/Movie-Recommender-using-RBM

A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.

Language: Python - Size: 5.61 MB - Last synced: about 1 month ago - Pushed: about 6 years ago - Stars: 32 - Forks: 27

sinaahmadi/RBM

Restricted Boltzman Machine

Language: Java - Size: 12.7 KB - Last synced: about 1 month ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

PrinceP/RBM_for_CF

RBM for collaborative filtering using metadata

Language: Python - Size: 22.5 KB - Last synced: about 1 month ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0

omimo/xRBM

Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

Language: Python - Size: 36.6 MB - Last synced: 28 days ago - Pushed: over 6 years ago - Stars: 56 - Forks: 21

nmeripo/Reducing-the-Dimensionality-of-Data-with-Neural-Networks

Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)

Language: Python - Size: 9.77 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 37 - Forks: 8

mzaradzki/probabilistic-javascript

Javascript functions to fit and to simulate probabilistic models

Language: JavaScript - Size: 9.9 MB - Last synced: about 2 months ago - Pushed: almost 7 years ago - Stars: 4 - Forks: 1

peguerosdc/ml4phy-quantum-oscillators

Mini Project for the "Machine Learning for Physicists 2020" course. A RBM implementation of a set of quantum mechanical harmonic oscillators.

Language: Python - Size: 984 KB - Last synced: about 2 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1

shamim-hussain/rbm-pytorch

An Implementation of Restricted Boltzmann Machine with Pytorch

Language: Python - Size: 924 KB - Last synced: about 2 months ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

stubbi/masterthesis

Classical Simulation of Quantum Circuits with Restricted Boltzmann Machines

Language: TeX - Size: 511 MB - Last synced: 2 months ago - Pushed: over 3 years ago - Stars: 4 - Forks: 0

taneishi/EBM_torch Fork of AmanPriyanshu/Deep-Belief-Networks-in-PyTorch

Energy Based Models in PyTorch

Language: Python - Size: 2.94 MB - Last synced: 3 months ago - Pushed: 10 months ago - Stars: 6 - Forks: 1

mliu-dark-knight/Neural-Network

Language: Python - Size: 48.8 KB - Last synced: 3 months ago - Pushed: over 7 years ago - Stars: 0 - Forks: 1

kpoeppel/pytorch_probgraph

A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch

Language: Python - Size: 44.9 KB - Last synced: 4 days ago - Pushed: almost 4 years ago - Stars: 48 - Forks: 6

wiseodd/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Language: Python - Size: 111 KB - Last synced: 3 months ago - Pushed: about 2 years ago - Stars: 7,227 - Forks: 2,024

Dor-sketch/IrisNetRBM

A Python-implemented RBM project exploring generative learning through the classification of the Iris dataset, featuring a user-friendly GUI and advanced data handling capabilities.

Language: Python - Size: 1.73 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

jrdpinto/DeepLearningPortfolio

A small collection of ANN models built while completing a Udemy course on deep learning.

Language: Jupyter Notebook - Size: 244 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

tonandr/keras_unsupervised

Keras framework for unsupervised learning

Language: Python - Size: 8.51 MB - Last synced: about 17 hours ago - Pushed: 8 months ago - Stars: 3 - Forks: 0

yell/boltzmann-machines

Boltzmann Machines in TensorFlow with examples

Language: Jupyter Notebook - Size: 354 MB - Last synced: 3 months ago - Pushed: over 2 years ago - Stars: 839 - Forks: 135

VaibhavAbhimanyooHiwase/Classification_of_Research_Papers_Titles_Describing_Some_Functions_Of_Extracellular_Vesicles

We proposed an approach that use the keywords of research paper as feature and generate a Restricted Boltzmann Machine (RBM).

Language: Python - Size: 961 KB - Last synced: 4 months ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 0

ttiagojm/DBN-TF2

Deep Belief Networks in Tensorflow 2

Language: Python - Size: 141 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 1

VPanjeta/Deep-Learning-Models

Deep Learning Models implemented in python.

Language: Python - Size: 29.3 KB - Last synced: 5 months ago - Pushed: about 7 years ago - Stars: 17 - Forks: 12

vasukalariya/Generative-Modelling

Implementation of various generative models using PyTorch.

Language: Jupyter Notebook - Size: 2.19 MB - Last synced: 5 months ago - Pushed: over 3 years ago - Stars: 3 - Forks: 0

saurabhmathur96/movie-recommendations

Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference

Language: Jupyter Notebook - Size: 1.29 MB - Last synced: 4 months ago - Pushed: over 4 years ago - Stars: 18 - Forks: 10

yixuan/cdtau

Unbiased Contrastive Divergence Algorithm

Language: C++ - Size: 132 KB - Last synced: 4 months ago - Pushed: about 4 years ago - Stars: 8 - Forks: 0

stefan-m-lenz/BoltzmannMachines.jl

A Julia package for training and evaluating multimodal deep Boltzmann machines

Language: Julia - Size: 495 KB - Last synced: 13 days ago - Pushed: over 2 years ago - Stars: 40 - Forks: 5

akashe/UnsupervisedLearning

Language: Jupyter Notebook - Size: 34.1 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

GabrielBianconi/pytorch-rbm πŸ“¦

Restricted Boltzmann Machines (RBMs) in PyTorch

Language: Python - Size: 7.81 KB - Last synced: 7 months ago - Pushed: almost 6 years ago - Stars: 144 - Forks: 47

stefan-m-lenz/dsBoltzmannMachines

Language: R - Size: 40 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 3

Shikhargupta/Spiking-Restricted-Boltzmann-Machine

RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

Language: Python - Size: 4.21 MB - Last synced: 8 months ago - Pushed: over 6 years ago - Stars: 26 - Forks: 10

ggiuffre/DBNsim

A web app for training and analysing Deep Belief Networks

Language: Python - Size: 35.9 MB - Last synced: 8 months ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 1

xiaoouzhang/Restricted-Boltzmann-Machine-on-Spin-Systems

This repository uses the Restricted Boltzmann Machine to study the Ising model and XY model.

Language: Python - Size: 13.7 KB - Last synced: 8 months ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 1

dcmocanu/sparse-evolutionary-artificial-neural-networks

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Language: Python - Size: 67 MB - Last synced: 8 months ago - Pushed: almost 3 years ago - Stars: 228 - Forks: 65

2015xli/DBN

Simple code tutorial for deep belief network (DBN)

Language: Jupyter Notebook - Size: 63.7 MB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 38 - Forks: 23

Alexdruso/DD2437-ANNDA-Colasanti-Sanvito-Stuart

Lab assignments for the course DD2437-Artificial neural networks and deep architectures at KTH

Language: Jupyter Notebook - Size: 54.3 MB - Last synced: 6 months ago - Pushed: over 2 years ago - Stars: 5 - Forks: 1

26hzhang/NeuralNetworksLite

Learn Neural Networks using Java

Language: Java - Size: 46.8 MB - Last synced: 9 months ago - Pushed: over 6 years ago - Stars: 12 - Forks: 3

conditg/rbm-feature-extraction

Simple Intro to Image Feature Extraction using a Restricted Boltzmann Machine

Language: Jupyter Notebook - Size: 6.3 MB - Last synced: 3 months ago - Pushed: about 5 years ago - Stars: 6 - Forks: 3

dboesono/Recommendation-Movie

A user-friendly web application built with Streamlit that offers personalized movie recommendations based on user ratings using a baseline predictive model and RBM neural network

Language: Jupyter Notebook - Size: 17.7 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 1 - Forks: 0

aillaud/Probabilistic-Models

Practical works on Bayesian classification, Hidden Markov Models and Restricted Boltzmann Machines

Language: Jupyter Notebook - Size: 32.9 MB - Last synced: 7 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

kashimAstro/NNet

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

Language: C++ - Size: 12.7 MB - Last synced: 9 months ago - Pushed: almost 7 years ago - Stars: 24 - Forks: 1

Max-Winga/Historic-ML-Techniques

Learning a few historical techniques for machine learning for a class at UIUC: Gibbs sampling, Hopfield networks, restricted boltzmann machines

Language: Jupyter Notebook - Size: 16.7 MB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

sagarverma/LC-CFRBM

Label consistent RBM

Language: Python - Size: 29.3 KB - Last synced: 10 months ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0

jaceyca/Netflix-Recommendations

A project in machine learning based on the completed Netflix competition

Language: C++ - Size: 1.1 MB - Last synced: 10 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

ethancaballero/Restricted_Boltzmann_Machine__RBM

Restricted Boltzmann Machine (RBM)

Language: Python - Size: 10.6 MB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 6 - Forks: 1

notAFK/oxfordhack-2016

A machine learning program that generates a new song that will match input text from the user.

Language: Python - Size: 1.63 MB - Last synced: 10 months ago - Pushed: about 7 years ago - Stars: 3 - Forks: 2

ducanhnguyen/restricted-boltzmann-machine

The implementation of rbm

Language: Python - Size: 19.6 MB - Last synced: 10 months ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

patricieni/RBM-Tensorflow

Tensorflow Implementation of RBM

Language: Jupyter Notebook - Size: 14.1 MB - Last synced: 10 months ago - Pushed: about 7 years ago - Stars: 15 - Forks: 10

DataSaiyentist/Restricted_Boltzmann_Machines Fork of AhmedOsman00py/Restricted_Boltzmann_Machines

Restricted Boltzmann Machine (classification on MNIST)

Language: Python - Size: 16.3 MB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

pushpulldecoder/Restricted-Boltzmann-Machine

Implementation of Restricted Machine from scratch using PyTorch

Language: Jupyter Notebook - Size: 185 KB - Last synced: 11 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

bacnguyencong/rbm-pytorch

An implementation of Restricted Boltzmann Machine in Pytorch

Language: Jupyter Notebook - Size: 173 KB - Last synced: 10 months ago - Pushed: about 5 years ago - Stars: 37 - Forks: 8

ericabrisigotti/my_LCP-B Fork of EkaterinaChueva/LCP-B

code & assignments from Laboratory of Computational Physics (module B) held at University of Padova by Prof. Marco Baiesi during Academic Year 2022-2023

Language: Jupyter Notebook - Size: 20.9 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

dkomni/machine-learning-overview

Machine Learning Basics: Artificial Neural Networks, Generative Modeling, Boltzmann Machines, GANs

Language: Jupyter Notebook - Size: 2.49 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

ikergarcia1996/Handwritten-Names-Recognition

The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.

Language: Jupyter Notebook - Size: 158 MB - Last synced: 11 months ago - Pushed: over 6 years ago - Stars: 56 - Forks: 28

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.

Language: Python - Size: 32.2 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 1

eugenet12/pytorch-rbm-autoencoder

Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)

Language: Jupyter Notebook - Size: 3.81 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 22 - Forks: 7

FengZiYjun/Restricted-Boltzmann-Machine

An Numpy implementation of RBM.

Language: Python - Size: 209 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 6 - Forks: 2

mehulrastogi/Deep-Belief-Network-pytorch

This repository has implementation and tutorial for Deep Belief Network

Language: Jupyter Notebook - Size: 751 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 89 - Forks: 36

SpringerNLP/Chapter4

Chapter 4: Basics of Deep Learning

Language: Jupyter Notebook - Size: 633 KB - Last synced: 9 months ago - Pushed: almost 5 years ago - Stars: 9 - Forks: 5

BorjaRequena/VMC_introduction

Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.

Language: Jupyter Notebook - Size: 2.32 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 8 - Forks: 1

akoreman/Restricted-Boltzmann-Machine-Generative-Ising-Model πŸ“¦

Project to generate novel Ising model spin states using Restricted Boltzmann Machines. Implemented using Python and SciKit-Learn. Coursework for course on Neural Networks. (MSc Computer Science level, Leiden University)

Language: Python - Size: 3.86 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 2

kuroron9696/FastNeurons

A simple and fast neural network library for Ruby using NMatrix.

Language: Ruby - Size: 15.2 MB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 1

jgmakin/rbmish

matlab code for exponential family harmoniums, RBMs, DBNs, and relata

Language: Matlab - Size: 952 KB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 5 - Forks: 4

Meharab/Deep-Neural-Network-using-Tensorflow

projects of all sorts of neural network

Language: Jupyter Notebook - Size: 2.83 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

adityashrm21/Deep-Learning-Algorithms-Implementation

Implementations of (Deep Learning + Machine Learning) Algorithms

Language: Jupyter Notebook - Size: 129 KB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 22 - Forks: 13

mr-easy/Restricted-Boltzmann-Machine

Python implementation of Restricted Boltzmann Machine (RBM). And an example on MNIST dataset.

Language: Jupyter Notebook - Size: 23.9 MB - Last synced: over 1 year ago - Pushed: almost 4 years ago - Stars: 8 - Forks: 1

facultyai/boltzmannclean

Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines

Language: Python - Size: 21.5 KB - Last synced: 5 days ago - Pushed: about 4 years ago - Stars: 23 - Forks: 9

W-Mrt/Machine-Learning-for-Computational-Physics Fork of Melikakmm/Machine-learning-projects

Machine learning applications

Language: Jupyter Notebook - Size: 41.4 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

HismaelOliveira/RBM

Restricted Boltzmann Machines as Keras Layer

Language: Python - Size: 5.86 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 21 - Forks: 6

siddheswarc/Image-Classification-and-Reconstruction

Image Classification and Reconstruction using various models such as Bayesian, Logistic Regression, SVM, Random Forest, Neural Network, CNN, RBM, VAE, GAN

Language: Python - Size: 14.9 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 5 - Forks: 1

AlexPasqua/ISPR-midterms

Assignments for the course of Intelligent Systems for Pattern Recognition @ University of Pisa

Language: Jupyter Notebook - Size: 88.4 MB - Last synced: over 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

josepllberral/machine-learning-tools

Machine Learning tools and functions in R, for educational and academic purposes

Language: Jupyter Notebook - Size: 625 MB - Last synced: over 1 year ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 2

ArnaudGardille/RBM

Implementation of a gaussian restricted Blotzmann machine

Language: Python - Size: 1.35 MB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 3 - Forks: 0

davidtranhq/pytorch-rbm

A restricted Boltzmann Machine trained using Persistent Contrastive Divergence implemented with Pytorch.

Language: Python - Size: 12.1 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

IBMDeveloperMEA/YPDL-Build-a-movie-recommendation-engine-with-TensorFlow

In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.

Language: Jupyter Notebook - Size: 19.1 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 7 - Forks: 2

YahyaAlaaMassoud/Faragni

Web-based Movie Recommendation Engine based on Deep Learning.

Language: TypeScript - Size: 10.5 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 3 - Forks: 2

aby2s/harmonium

Simple Restricted Boltzmann Machine implementation with TensorFlow.

Language: Python - Size: 71.3 KB - Last synced: over 1 year ago - Pushed: about 6 years ago - Stars: 6 - Forks: 3

crypto-code/RBM-Music-Composer

Use TensorFlow to Generate Music with a Restricted Boltzmann Machine.

Language: Python - Size: 195 KB - Last synced: over 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

sujiny-tech/Generative-Models

Generative-Models (GAN, RBM)

Language: Python - Size: 173 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 2 - Forks: 0

siddheswarc/Pattern-Recognition

CSE 555 (Introduction to Pattern Recognition) course at the University at Buffalo

Language: Jupyter Notebook - Size: 2.15 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 6

mark-antal-csizmadia/rbm_dbn

Restricted Boltzmann Machines (RBMs) and Deep Belief Networks (DBNs) from scratch for representation learning on the MNIST dataset.

Language: Jupyter Notebook - Size: 108 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 1

kplachkov/Deep-Learning

Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.

Language: Jupyter Notebook - Size: 55.5 MB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 2 - Forks: 3

IBMDeveloperMEA/YourPathToDeepLearning

Sequel to our infamous Your Path to AI Series. We are introducing this new advanced level series for audience interested to specialise in Deep Learning.Β This repository holds all the resources for the series for you to catch up in case you have missed it.

Size: 13.7 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 4

paritoshshirodkar/Movie-Recommendation-System-Using-Restricted-Boltzmann-Machine

This repository is for the Movie Recommendation System developed using the Restricted Boltzmann Machine Algorithm

Language: HTML - Size: 37.1 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 3

zero80517/neural-quantum-states Fork of kafischer/neural-quantum-states

Numerically represent quantum states with Restricted Boltzmann Machines

Size: 4.21 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

MultiTrickFox/Temporal_Hebbian

hebbian learning for sequential generation

Language: Python - Size: 43 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

dataplayer12/RBM

Restricted Boltzmann Machines implemented in 99 lines of python

Language: Jupyter Notebook - Size: 625 KB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 9 - Forks: 1

stefan-m-lenz/dsBoltzmannMachinesClient

Language: R - Size: 55.7 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 1 - Forks: 3

SimoneAlbertini/RBMcpp

Restricted Boltzmann Machine class using OpenCv, including Bernoulli-Bernoulli and Gaussian-Bernoulli implementations, plus utilities

Language: C++ - Size: 8.19 MB - Last synced: 9 months ago - Pushed: about 10 years ago - Stars: 4 - Forks: 2

isabekov/GBPRBM_Hidden_Entropy_Analysis

Code for the analysis conducted in the paper "On the Importance of Hidden Bias and Hidden Entropy in Representational Efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines"

Language: MATLAB - Size: 253 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

charumakhijani/deep-learning

Language: Jupyter Notebook - Size: 19.8 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 1 - Forks: 2

jaquino/ia_rbm

Inteligencia Artificial - Maquinas de Boltzmann Restringidas

Language: Jupyter Notebook - Size: 20 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

mudittiwari255/Restricted-Boltzman-Machine-Simple-Implementation

Language: Python - Size: 5.86 KB - Last synced: 8 months ago - Pushed: about 5 years ago - Stars: 4 - Forks: 0

Karan-Malik/RestrictedBoltzmannMachine

Python3 implementation of the Unsupervised Deep Learning Algorithm, Restricted Boltzmann Machine.

Language: Python - Size: 19.4 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 1 - Forks: 1

ml4jarchive/ml4j-neuralnets-demo

Simple demos of ml4j NeuralNets...AutoEncoders...RBMs....ConvNets...DBNs....coming soon

Language: Java - Size: 12.5 MB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 2 - Forks: 1

ml4jarchive/ml4j-api

ml4j Neural Network API for Java

Language: Java - Size: 696 KB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 2

samridhishree/Deeplearning-Models

Deep learning models in Python

Language: Python - Size: 266 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 3 - Forks: 0

krish240574/dbn_bn

Deep Belief net for classification, used on the MNIST dataset.

Language: APL - Size: 79.1 KB - Last synced: over 1 year ago - Pushed: about 7 years ago - Stars: 3 - Forks: 1

rtora/Summer19

Experiments and research of Sum Product Networks (SPFlow and RAT-SPN) and Restricted Boltzmann Machines

Language: Jupyter Notebook - Size: 2.37 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

Related Keywords
restricted-boltzmann-machine 108 machine-learning 28 rbm 27 deep-learning 25 neural-network 18 python 17 deep-belief-network 14 pytorch 14 tensorflow 13 neural-networks 12 autoencoder 10 keras 9 convolutional-neural-networks 9 generative-model 8 unsupervised-learning 7 contrastive-divergence-algorithm 6 gibbs-sampling 6 deep-neural-networks 5 recurrent-neural-networks 5 energy-based-model 5 generative-adversarial-network 5 collaborative-filtering 5 multilayer-perceptron-network 5 artificial-neural-networks 4 artificial-intelligence 4 numpy 4 mnist 4 logistic-regression 4 scikit-learn 4 deep-boltzmann-machine 4 data-science 4 movie-recommendation 4 boltzmann-machines 4 cnn 4 principal-component-analysis 3 hopfield-network 3 r 3 variational-autoencoder 3 linear-regression 3 multi-layer-perceptron 3 denoising-autoencoders 3 autoencoder-mnist 3 dbn 3 jupyter-notebook 3 lstm 3 semi-supervised-learning 3 perceptron 3 autoencoders 3 classification 3 deep-learning-algorithms 3 tensorflow-models 2 rnn 2 multilayer-perceptron 2 deep-belief-nets 2 restricted-boltzmann-machines 2 ruby 2 gbprbm 2 histogram-of-oriented-gradients 2 character-recognition 2 mlp 2 conditional-gan 2 fashion-mnist 2 machine-learning-algorithms 2 python3 2 graphical-models 2 cosine-similarity 2 svd 2 clustering 2 random-forest 2 algorithm 2 bayesian-decision-theory 2 federated-learning 2 recommendation-system 2 language-modeling 2 hidden-markov-model 2 quantum-monte-carlo 2 pandas 2 reinforcement-learning 2 recommender-system 2 vae 2 auto-encoder 2 probabilistic-graphical-models 2 crbm 2 word2vec 2 mnist-dataset 2 gan 2 gradient-descent 1 data-visualisation 1 boosting-algorithms 1 bagging 1 opencv-python 1 dataframe 1 cuda 1 data-cleaning 1 lasvegas-algorithm 1 contrastive-divergence 1 name-recognition 1 lasso-regression 1 ridge-regression 1 xgboost 1