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rbm

Here are 83 public repositories matching this topic...

wiseodd / generative-models

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

machine-learning tensorflow pytorch gan generative-model vae restricted-boltzmann-machine rbm

Updated Jan 31, 2019
Python

xiaohu2015 / DeepLearning_tutorials

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The deeplearning algorithms implemented by tensorflow

sda tensorflow cnn lstm deep-learning-algorithms rbm mlp deep-learning-tutorial dbn

Updated Feb 27, 2019
Jupyter Notebook

yell / boltzmann-machines

Star

Open

evaluate models on binarized MNIST

yell opened Jun 5, 2018

documentation experiments

Open

move docker-files and documentation to a separate folder

itdxer / neupy

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Open

name parameter description for layers has broken RST

itdxer commented Jul 3, 2019

For example: http://neupy.com/modules/generated/neupy.layers.Convolution.html#neupy.layers.Convolution

Read more

bug docs

Open

usage inquiry: retrieving weights for hinton

4

wichtounet / dll

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Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

c-plus-plus machine-learning performance cpu deep-learning cpp gpu cpp14 cpp11 artificial-neural-networks rbm convolutional-neural-networks

Updated Jul 2, 2020
C++

meownoid / tensorfow-rbm

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Tensorflow implementation of Restricted Boltzmann Machine

machine-learning tensorflow machine-learning-algorithms rbm sklearn-compatible

Updated Jan 4, 2018
Python

netket

netket / netket

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Open

Tutorial on MPI usage

2

gcarleo commented Mar 14, 2019

It would be helpful to add a tutorial explaining how to run things in parallel (mpirun etc). There are some users who are not familiar with mpi (see #173 ) and it is useful to explain the basic steps to do this.

Read more

enhancement good first issue help wanted

Open

Tutorial on the AKLT model

1

drckf / paysage

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Unsupervised learning and generative models in python/pytorch.

machine-learning generative-model rbm boltzmann-machines unsupervised-learning

Updated Apr 21, 2020
Python

GabrielBianconi / pytorch-rbm

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Restricted Boltzmann Machines (RBMs) in PyTorch

python machine-learning neural-network pytorch restricted-boltzmann-machine rbm

Updated Jun 29, 2018
Python

yell / mnist-challenge

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My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

python machine-learning deep-neural-networks kernel deep-learning neural-network mnist pca logistic-regression rbm gaussian-processes data-augmentation k-nn

Updated Oct 9, 2019
Jupyter Notebook

omimo / xRBM

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

python machine-learning library tensorflow mnist-dataset restricted-boltzmann-machine rbm crbm

Updated Nov 19, 2017
Python

adityashrm21 / book-recommender-system-rbm

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Open

Check whether sparse matrices can be used for better memory management

adityashrm21 commented Feb 11, 2019

Check and implement if possible, the use of sparse matrices instead of dense ones so that CUDA doesn't throw Out of Memory error while allocating a large tensor.

Read more

enhancement good first issue

jonghough / jlearn

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Machine Learning Library, written in J

learning machine-learning deep-learning clustering lstm gaussian-mixture-models ensemble-learning rbm convolutional-neural-networks j k-means gaussian-processes principal-component-analysis self-organizing-map multilayer-perceptron-network hierarchical-clustering knn-classifier restricted-boltzmann-machines

Updated Feb 11, 2020
J

kaushiksk / RBM_DBN

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

machine-learning keras neural-networks rbm dbn deep-belief-network rbm-dbn

Updated Jul 17, 2017
Jupyter Notebook

khoink94 / tensorflow-Deep-learning

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Tensorflow Examples

machine-learning deep-learning tensorflow linear-regression cnn mnist ae rnn autoencoder logistic-regression rbm mlp nearest-neighbors multilayer-perceptron-network tf grbm brnn drnn sparseae sparse-autoencoder

Updated May 11, 2017
Python

VPanjeta / Deep-Learning-Models

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Deep Learning Models implemented in python.

python deep-learning sda models cnn restricted-boltzmann-machine rbm deeplearning mlp multi-layer-perceptron da deep-belief-nets denoising-autoencoders

Updated Mar 19, 2017
Python

gugarosa / learnergy

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

python machine-learning energy pytorch rbm dbn

Updated Jul 3, 2020
Python

ThanhChinhBK / RBM_CF

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Restricted Boltzmann Machines for Collaborative Filtering in Tensorflow

tensorflow collaborative-filtering rbm

Updated Jul 28, 2017
Python

aymanibrahim / dltf

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Hands-on in-person workshop for Deep Learning with TensorFlow

workshop deep-learning neural-network tensorflow cnn lstm rnn autoencoder rbm recurrent convolutional

Updated Feb 12, 2020
Jupyter Notebook

patricieni / RBM-Tensorflow

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Tensorflow Implementation of RBM

python machine-learning mnist-classification restricted-boltzmann-machine rbm reconstruction tensorflow-models

Updated May 4, 2017
Jupyter Notebook

AlvinLXS / DBN-and-RBM-in-pytorch

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

pytorch rbm dbn

Updated Apr 11, 2019
Python

lzhbrian / RBM-DBN-theano-DL4J

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

theano mnist rbm dbn dl4j

Updated Mar 4, 2017
Python

meowoodie / Regularized-RBM

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A regularized version of RBM for unsupervised feature selection.

python events machine-learning data-mining statistics tensorflow embeddings variable-selection feature-selection rbm regularization unsupervised-learning skipgram l1 icassp icassp-2018

Updated Nov 20, 2019
Python

RQC-QApp / NNQST

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🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)

rbm russian-quantum-center rqc quantum-state-tomography

Updated Jul 9, 2018
Jupyter Notebook

aby2s / harmonium

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Simple Restricted Boltzmann Machine implementation with TensorFlow.

neural-network tensorflow restricted-boltzmann-machine rbm

Updated May 11, 2018
Python

meowoodie / RNN-RBM-in-Theano

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An implementation of RNN-RBM & GBRBM.

machine-learning theano rnn rbm network-analysis industrial-network gbrbm rnn-rbm

Updated Oct 11, 2017
Python

lingxuez / RBM_AE

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My python implementation of RBM and denoising Autoencoder for pre-training

python deep-learning autoencoder rbm

Updated Oct 29, 2016
Python

lzhbrian / MCMC

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An introduction of MCMC, implementation of TAP, AIS, RTS algorithm to estimate the partition function of an RBM (Project of Stochastic Process course)

tap matlab rbm rts mcmc ais

Updated Nov 15, 2016
PostScript

TTitcombe / Python-Machine-Learning-Models

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Barebones Python implementations of machine learning models, without using machine learning libraries

python machine-learning neural-network clustering generative-adversarial-network gan gaussian-mixture-models rbm hidden-markov-model gmm gaussian-processes bayesian-optimization decision-tree

Updated Jun 16, 2018
Python

ikhlestov / rbm_based_autoencoders_with_tensorflow

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machine-learning tensorflow ml rbm autoencoders

Updated Jan 10, 2017
Python

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