restricted-boltzmann-machine

There are 7 repositories under restricted-boltzmann-machine topic.

wiseodd / generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
vae gan pytorch tensorflow generative-model machine-learning rbm restricted-boltzmann-machine
Language:Python 7461
yell / boltzmann-machines
Boltzmann Machines in TensorFlow with examples
ais annealed-importance-sampling boltzmann-machines contrastive-divergence-algorithm dbm deep-learning energy-based-model gibbs-sampling keras machine-learning mcmc pcd rbm restricted-boltzmann-machine sklearn-compatible tensorflow tensorflow-models variational-inference
Language:Jupyter Notebook 850
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.
auto-encoder automatic-summarization combinatorial-optimization deep-learning deep-q-network deep-reinforcement-learning energy-based-model generative-adversarial-network lstm multi-agent-reinforcement-learning q-learning quantum-annealing quantum-monte-carlo reinforcement-learning restricted-boltzmann-machine self-supervised-learning semi-supervised-learning simulated-annealing transfer-learning
Language:Python 314
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).
artificial-neural-networks sparse-neural-networks restricted-boltzmann-machine multi-layer-perceptron deep-learning deep-neural-networks neuroevolution complex-networks evolutionary-algorithms randomization scalability sparsity generative-models classification deep-learning-papers deep-learning-algorithms scalable-deep-learning sparse-training sparse-evolutionary-training adaptive-sparse-connectivity
Language:Python 249
PIQuIL / QuCumber
Neural Network Many-Body Wavefunction Reconstruction
machine-learning restricted-boltzmann-machine quantum-computing
Language:Python 174
GabrielBianconi / pytorch-rbm
Restricted Boltzmann Machines (RBMs) in PyTorch
machine-learning neural-network python pytorch rbm restricted-boltzmann-machine
Language:Python 161
mehulrastogi / Deep-Belief-Network-pytorch
This repository has implementation and tutorial for Deep Belief Network
deep-belief-network restricted-boltzmann-machine pytorch guassianbernoullirbm
Language:Jupyter Notebook 101
ikergarcia1996 / Handwritten-Names-Recognition
The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.
neural-networks neuralnetwork handwriting-recognition handwritten-text-recognition ocr multilayer-perceptron-network restricted-boltzmann-machine principal-component-analysis histogram-of-oriented-gradients character-recognition handwritten-character-recognition
Language:Jupyter Notebook 57
omimo / xRBM
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
crbm library machine-learning mnist-dataset python rbm restricted-boltzmann-machine tensorflow
Language:Python 55
bacnguyencong / rbm-pytorch
An implementation of Restricted Boltzmann Machine in Pytorch
deep-generative-model pytorch-implmention restricted-boltzmann-machine
Language:Jupyter Notebook 53
kpoeppel / pytorch_probgraph
A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
probabilistic-graphical-models pytorch restricted-boltzmann-machine deep-belief-network
Language:Python 49
2015xli / DBN
Simple code tutorial for deep belief network (DBN)
deep-learning neural-networks python deep-belief-network restricted-boltzmann-machine
Language:Jupyter Notebook 47
stefan-m-lenz / BoltzmannMachines.jl
A Julia package for training and evaluating multimodal deep Boltzmann machines
machine-learning deep-learning neural-networks julia data-science deep-boltzmann-machine restricted-boltzmann-machine
Language:Julia 44
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)
autoencoder autoencoder-mnist restricted-boltzmann-machine
Language:Python 38
srp98 / Movie-Recommender-using-RBM
A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
restricted-boltzmann-machine recommender-system collaborative-filtering movie-database tensorflow numpy pandas matplotlib
Language:Python 33
Shikhargupta / Spiking-Restricted-Boltzmann-Machine
RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
contrastive-divergence-algorithm mnist-handwriting-recognition neuromorphic-engineering neuromorphic-hardware python restricted-boltzmann-machine spike-time-dependent-plasticity spike-trains spiking-neural-networks synapse
Language:Python 29
kashimAstro / NNet
algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network
course algorithm clustering cplusplus graph cluster-computing multilayer-perceptron-network perceptron cnn clustering-graph study restricted-boltzmann-machine bayesian-network
Language:C++ 25
eugenet12 / pytorch-rbm-autoencoder
Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)
restricted-boltzmann-machine neural-network deep-learning autoencoder autoencoder-mnist
Language:Jupyter Notebook 24
facultyai / boltzmannclean
Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines
data-science pandas dataframe data-cleaning restricted-boltzmann-machine
Language:Python 23
HismaelOliveira / RBM
Restricted Boltzmann Machines as Keras Layer
restricted-boltzmann-machine restricted-boltzmann-machines keras-layer
Language:Python 22
adityashrm21 / Deep-Learning-Algorithms-Implementation
Implementations of (Deep Learning + Machine Learning) Algorithms
algorithm decision-tree decision-trees deep-learning deep-learning-algorithms implementation implementation-of-algorithms jupyter-notebook keras linear-regression logistic-regression machine-learning multilayer-perceptron neural-networks pytorch restricted-boltzmann-machine tensorflow
Language:Jupyter Notebook 20
saurabhmathur96 / movie-recommendations
Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference
cosine-similarity movie-recommendation recommend-movies restricted-boltzmann-machine svd svd-matrix-factorisation
Language:Jupyter Notebook 19
BorjaRequena / VMC_introduction
Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
monte-carlo quantum-monte-carlo variational-monte-carlo restricted-boltzmann-machine
Language:Jupyter Notebook 17
VPanjeta / Deep-Learning-Models
Deep Learning Models implemented in python.
deep-learning restricted-boltzmann-machine rbm deep-belief-nets python deeplearning cnn models mlp multi-layer-perceptron denoising-autoencoders da sda
Language:Python 17
mr-easy / Restricted-Boltzmann-Machine
Python implementation of Restricted Boltzmann Machine (RBM). And an example on MNIST dataset.
restricted-boltzmann-machine rbm gibbs-sampling contrastive-divergence machine-learning-algorithms graphical-models
Language:Jupyter Notebook 13
patricieni / RBM-Tensorflow
Tensorflow Implementation of RBM
tensorflow-models restricted-boltzmann-machine python machine-learning rbm reconstruction mnist-classification
Language:Jupyter Notebook 13
26hzhang / NeuralNetworksLite
Learn Neural Networks using Java
recurrent-neural-networks convolutional-neural-networks denoising-autoencoders restricted-boltzmann-machine logistic-regression perceptron deep-belief-nets
Language:Java 12
aormorningstar / GenerativeNeuralNets
Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models using python. This code has some specalised features for 2D physics data.
restricted-boltzmann-machine deep-belief-network deep-boltzmann-machine deep-restricted-boltzmann-network
Language:Python 12
SpringerNLP / Chapter4
Chapter 4: Basics of Deep Learning
deep-learning neural-networks data-augmentation audio-classification restricted-boltzmann-machine multilayer-perceptron autoencoder keras
Language:Jupyter Notebook 10
dataplayer12 / RBM
Restricted Boltzmann Machines implemented in 99 lines of python
restricted-boltzmann-machine unsupervised-learning
Language:Jupyter Notebook 9
FengZiYjun / Restricted-Boltzmann-Machine
An Numpy implementation of RBM.
machine-learning restricted-boltzmann-machine restricted-boltzmann-machines
Language:Python 9
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.
deep-learning keras keras-tensorflow movie-recommendation recommendation-system restricted-boltzmann-machine tensorflow
Language:Jupyter Notebook 9
SandeepAswathnarayana / professional-certificate-programs
This repository contains all the projects and labs I worked on while pursuing professional certificate programs, specializations, and bootcamp. [Areas: Deep Learning, Machine Learning, Applied Data Science].
deeplearning machinelearning datascience recurrent-neural-networks python pytorch tensorflow pandas numpy matplotlib scipy scikit-learn recommender-system restricted-boltzmann-machine ggplot folium-maps seaborn autoencoder image-classification apachespark
Language:Jupyter Notebook 9
yixuan / cdtau
Unbiased Contrastive Divergence Algorithm
machine-learning deep-learning energy-model restricted-boltzmann-machine
Language:C++ 8
Alexdruso / DD2437-ANNDA-Colasanti-Sanvito-Stuart
Lab assignments for the course DD2437-Artificial neural networks and deep architectures at KTH
kth neural-networks mlp perceptron hopfield-network rbf-network som restricted-boltzmann-machine deep-belief-network
Language:Jupyter Notebook 7
conditg / rbm-feature-extraction
Simple Intro to Image Feature Extraction using a Restricted Boltzmann Machine
restricted-boltzmann-machine python scikit-learn
Language:Jupyter Notebook 7

restricted-boltzmann-machine

wiseodd / generative-models

yell / boltzmann-machines

accel-brain / accel-brain-code

dcmocanu / sparse-evolutionary-artificial-neural-networks

PIQuIL / QuCumber

GabrielBianconi / pytorch-rbm

mehulrastogi / Deep-Belief-Network-pytorch

ikergarcia1996 / Handwritten-Names-Recognition

omimo / xRBM

bacnguyencong / rbm-pytorch

kpoeppel / pytorch_probgraph

2015xli / DBN

stefan-m-lenz / BoltzmannMachines.jl

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

srp98 / Movie-Recommender-using-RBM

Shikhargupta / Spiking-Restricted-Boltzmann-Machine

kashimAstro / NNet

eugenet12 / pytorch-rbm-autoencoder

facultyai / boltzmannclean

HismaelOliveira / RBM

adityashrm21 / Deep-Learning-Algorithms-Implementation

saurabhmathur96 / movie-recommendations

BorjaRequena / VMC_introduction

VPanjeta / Deep-Learning-Models

mr-easy / Restricted-Boltzmann-Machine

patricieni / RBM-Tensorflow

26hzhang / NeuralNetworksLite

aormorningstar / GenerativeNeuralNets

SpringerNLP / Chapter4

dataplayer12 / RBM

FengZiYjun / Restricted-Boltzmann-Machine

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

SandeepAswathnarayana / professional-certificate-programs

yixuan / cdtau

Alexdruso / DD2437-ANNDA-Colasanti-Sanvito-Stuart

conditg / rbm-feature-extraction