Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Python
Updated Jan 31, 2019
#
rbm
Repositories 65
The deeplearning algorithms implemented by tensorflow
Jupyter Notebook
Updated Feb 27, 2019
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
Good first issues
move docker-files and documentation to a separate folder
documentation#5 opened 11 months ago by yell
evaluate models on binarized MNIST
documentation experiments#4 opened 11 months ago by yell
Jupyter Notebook
Updated Mar 6, 2019
NeuPy is a Tensorflow based python library for prototyping and building neural networks
deep-learning
deep-neural-networks
deeplearning
neural-network
artificial-neural-networks
neupy
tensorflow
som
sofm
hopfield
rbm
boltzmann-machine
pnn
lvq
Python
Updated Apr 4, 2019
Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
c-plus-plus
cpp
cpp11
cpp14
performance
machine-learning
deep-learning
artificial-neural-networks
gpu
rbm
cpu
convolutional-neural-networks
C++
Updated Apr 30, 2018
Tensorflow implementation of Restricted Boltzmann Machine
Python
Updated Jan 4, 2018
Machine learning algorithms for many-body quantum systems
machine-learning-algorithms
quantum
neural-networks
monte-carlo-methods
hamiltonian
physics-simulation
variational-method
rbm
restricted-boltzmann-machine
feedforward-neural-network
convolutional-neural-networks
variational-monte-carlo
lanczos-algorithm
exact-diagonalization
markov-chain-monte-carlo
quantum-state-tomography
complex-neural-network
Good first issues
C++
Updated May 3, 2019
Unsupervised learning and generative models in python/pytorch.
Python
Updated Jan 2, 2019
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
data-augmentation
deep-learning
deep-neural-networks
gaussian-processes
k-nn
kernel
logistic-regression
machine-learning
mnist
neural-network
pca
python
rbm
Jupyter Notebook
Updated Jun 10, 2018
Restricted Boltzmann Machines (RBMs) in PyTorch
Python
Updated Jun 29, 2018
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
Python
Updated Nov 19, 2017
Machine Learning Library, written in J
machine-learning
convolutional-neural-networks
j
deep-learning
gaussian-mixture-models
gaussian-processes
self-organizing-map
principal-component-analysis
k-means
hierarchical-clustering
lstm
ensemble-learning
learning
rbm
restricted-boltzmann-machines
multilayer-perceptron-network
knn-classifier
clustering
J
Updated Apr 30, 2019
Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
Jupyter Notebook
Updated Jul 17, 2017
Tensorflow Examples
rbm
grbm
rnn
brnn
drnn
cnn
ae
autoencoder
sparseae
sparse-autoencoder
linear-regression
logistic-regression
multilayer-perceptron-network
mlp
mnist
deep-learning
machine-learning
nearest-neighbors
tf
tensorflow
Python
Updated May 11, 2017
A book recommender system created using simple Restricted Boltzmann Machines in TensorFlow
neural-networks
restricted-boltzmann-machines
hopfield-network
recommender-system
python3
rbm
books
book-recommender
geoffrey-hinton
tensorflow
cuda
Good first issues
Check whether sparse matrices can be used for better memory management
good first issue enhancement#5 opened 3 months ago by adityashrm21
Jupyter Notebook
Updated Feb 3, 2019
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
Python
Updated Mar 19, 2017
Tensorflow Implementation of RBM
tensorflow-models
restricted-boltzmann-machine
python
machine-learning
rbm
reconstruction
mnist-classification
Jupyter Notebook
Updated May 4, 2017
Train a DBN to classify a set of test data similar to MNIST, Using DL4J & theano (Project of Pattern Recognition course)
Python
Updated Mar 4, 2017
Restricted Boltzmann Machines for Collaborative Filtering in Tensorflow
Python
Updated Jul 28, 2017
An implementation of RNN-RBM & GBRBM.
Python
Updated Oct 11, 2017
Simple Restricted Boltzmann Machine implementation with TensorFlow.
Python
Updated May 11, 2018
Python
Updated Jan 10, 2017
My python implementation of RBM and denoising Autoencoder for pre-training
Python
Updated Oct 29, 2016
Barebones Python implementations of machine learning models, without using machine learning libraries
python
decision-tree
rbm
machine-learning
generative-adversarial-network
gan
clustering
gaussian-processes
bayesian-optimization
neural-network
hidden-markov-model
gaussian-mixture-models
gmm
Python
Updated Jun 16, 2018
CUDA implementation of the Restricted Boltzmann Machine
Cuda
Updated Feb 18, 2016
.NET Standard SDK to send messages with CM.com
messaging
text
sms
email
push
whatsapp
viber
wechat
rcs
voice
business-messaging
telegram
conversational
sms-chat
chat
rbm
mms
rich-sms
rich-communication-services
C#
Updated Mar 5, 2019
A regularized version of RBM for unsupervised feature selection.
machine-learning
statistics
python
data-mining
embeddings
skipgram
tensorflow
rbm
events
l1
regularization
variable-selection
unsupervised-learning
feature-selection
icassp-2018
icassp
Python
Updated Apr 1, 2019
An introduction of MCMC, implementation of TAP, AIS, RTS algorithm to estimate the partition function of an RBM (Proj…
PostScript
Updated Nov 15, 2016
Digit Recognition with scikit-learn's Bernoulli RBM and Logistic Classifier
Python
Updated Apr 29, 2015
Implementation for RBM - Restricted Bolzmann Machine for Collaborative Filtering
Python
Updated May 25, 2017