Alternatives and similar repositories for restricted-boltzmann-machines

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

• nitishsrivastava / deepnet
  Implementation of some deep learning algorithms.
  ☆896Updated 11 years ago
• dennybritz / rnn-tutorial-gru-lstm
  Language Model GRU with Python and Theano
  ☆506Updated 10 years ago
• jaberg / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆515Updated 11 years ago
• dennybritz / rnn-tutorial-rnnlm
  Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
  ☆900Updated 2 years ago
• gabrieleangeletti / Deep-Learning-TensorFlow
  Ready to use implementations of various Deep Learning algorithms using TensorFlow.
  ☆962Updated 8 years ago
• yell / boltzmann-machines
  Boltzmann Machines in TensorFlow with examples
  ☆851Updated 4 years ago
• goodfeli / theano_exercises
  Exercises for my tutorials on Theano
  ☆686Updated 9 years ago
• carpedm20 / NTM-tensorflow
  "Neural Turing Machine" in Tensorflow
  ☆1,046Updated 8 years ago
• wojzaremba / lstm
  ☆681Updated 7 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,393Updated 8 years ago
• vict0rsch / deep_learning
  Deep Learning Resources and Tutorials using Keras and Lasagne
  ☆427Updated 5 years ago
• KnHuq / Dynamic-Tensorflow-Tutorial
  Tensorflow tutorial of building different dynamic recurrent neural network
  ☆500Updated 7 years ago
• CuriousAI / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
  ☆518Updated 8 years ago
• dennybritz / tf-rnn
  Practical Examples for RNNs in Tensorflow
  ☆482Updated 9 years ago
• dclambert / Python-ELM
  Extreme Learning Machine implementation in Python
  ☆550Updated 4 years ago
• dwiel / tensorflow_hmm
  A tensorflow implementation of an HMM layer
  ☆284Updated 7 years ago
• peterroelants / peterroelants.github.io
  Blog
  ☆342Updated last month
• jatinshah / ufldl_tutorial
  Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆695Updated 11 years ago
• gwtaylor / theano-rnn
  Demonstration of recurrent neural network implemented with Theano
  ☆375Updated 8 years ago
• gy910210 / rnn-from-scratch
  Implementing Recurrent Neural Network from Scratch
  ☆515Updated 7 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆505Updated 4 years ago
• Newmu / Theano-Tutorials
  Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
  ☆1,294Updated 10 years ago
• farizrahman4u / recurrentshop
  Framework for building complex recurrent neural networks with Keras
  ☆768Updated 3 years ago
• Element-Research / rnn
  Recurrent Neural Network library for Torch7's nn
  ☆943Updated 8 years ago
• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆955Updated 2 years ago
• Cospel / rbm-ae-tf
  Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.
  ☆84Updated 5 years ago
• zhangxiangxiao / Crepe
  Character-level Convolutional Networks for Text Classification
  ☆850Updated 6 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 4 years ago
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,588Updated 2 weeks ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆407Updated 7 years ago