Alternatives and similar repositories for restricted-boltzmann-machines

Users that are interested in restricted-boltzmann-machines are comparing it to the libraries listed below

• gabrieleangeletti / Deep-Learning-TensorFlow
  Ready to use implementations of various Deep Learning algorithms using TensorFlow.
  ☆959Updated 7 years ago
• jaberg / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆513Updated 11 years ago
• nitishsrivastava / deepnet
  Implementation of some deep learning algorithms.
  ☆897Updated 11 years ago
• vict0rsch / deep_learning
  Deep Learning Resources and Tutorials using Keras and Lasagne
  ☆425Updated 5 years ago
• dennybritz / rnn-tutorial-rnnlm
  Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
  ☆898Updated 2 years ago
• goodfeli / theano_exercises
  Exercises for my tutorials on Theano
  ☆686Updated 9 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,392Updated 8 years ago
• dennybritz / rnn-tutorial-gru-lstm
  Language Model GRU with Python and Theano
  ☆501Updated 9 years ago
• dennybritz / tf-rnn
  Practical Examples for RNNs in Tensorflow
  ☆483Updated 8 years ago
• jatinshah / ufldl_tutorial
  Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆694Updated 11 years ago
• KnHuq / Dynamic-Tensorflow-Tutorial
  Tensorflow tutorial of building different dynamic recurrent neural network
  ☆500Updated 7 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 3 years ago
• yell / boltzmann-machines
  Boltzmann Machines in TensorFlow with examples
  ☆848Updated 3 years ago
• dwiel / tensorflow_hmm
  A tensorflow implementation of an HMM layer
  ☆285Updated 7 years ago
• Newmu / Theano-Tutorials
  Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
  ☆1,294Updated 9 years ago
• wojzaremba / lstm
  ☆675Updated 6 years ago
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆411Updated 2 years ago
• gy910210 / rnn-from-scratch
  Implementing Recurrent Neural Network from Scratch
  ☆489Updated 7 years ago
• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆954Updated 2 years ago
• gwtaylor / theano-rnn
  Demonstration of recurrent neural network implemented with Theano
  ☆375Updated 8 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆504Updated 3 years ago
• eBay / bayesian-belief-networks
  Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…
  ☆1,134Updated 4 years ago
• aigamedev / scikit-neuralnetwork
  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
  ☆1,207Updated 4 years ago
• fchollet / hualos
  Keras Total Visualization project
  ☆364Updated 7 years ago
• farizrahman4u / recurrentshop
  Framework for building complex recurrent neural networks with Keras
  ☆763Updated 2 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,301Updated 7 years ago
• awjuliani / TF-Tutorials
  A collection of deep learning tutorials using Tensorflow and Python
  ☆522Updated 8 years ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆265Updated 6 years ago
• carpedm20 / NTM-tensorflow
  "Neural Turing Machine" in Tensorflow
  ☆1,045Updated 8 years ago
• cerndb / dist-keras
  Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
  ☆623Updated 7 years ago