Alternatives and similar repositories for boltzmann-machines

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

• andrewgordonwilson / bayesgan
  Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
  ☆1,017Updated 7 years ago
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,587Updated 3 years ago
• llSourcell / capsule_networks
  This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube
  ☆567Updated 5 years ago
• jostmey / rwa
  Machine Learning on Sequential Data Using a Recurrent Weighted Average
  ☆603Updated 5 years ago
• chrisranderson / beholder
  A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.
  ☆462Updated 6 years ago
• Pulkit-Khandelwal / Reinforcement-Learning-Notebooks
  A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
  ☆1,044Updated 7 years ago
• tensorflow / lattice
  Lattice methods in TensorFlow
  ☆519Updated last year
• joeddav / devol
  Genetic neural architecture search with Keras
  ☆952Updated 2 years ago
• mila-iqia / welcome_tutorials
  Various tutorials given for welcoming new students at MILA.
  ☆986Updated 7 years ago
• echen / restricted-boltzmann-machines
  Restricted Boltzmann Machines in Python.
  ☆968Updated 5 years ago
• merantix / picasso
  A CNN visualizer
  ☆1,001Updated 7 years ago
• anantzoid / Conditional-PixelCNN-decoder
  Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
  ☆481Updated 7 years ago
• salesforce / pytorch-qrnn
  PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
  ☆1,262Updated 3 years ago
• EliotAndres / pretrained.ml
  [DEPRECATED] Compilation of pre-trained deep learning models with demos and code.
  ☆358Updated 7 years ago
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,267Updated 7 years ago
• bourdakos1 / capsule-networks
  A Tensorflow implementation of Capsule Networks
  ☆478Updated 7 years ago
• XifengGuo / CapsNet-Keras
  A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
  ☆2,462Updated 5 years ago
• carpedm20 / NTM-tensorflow
  "Neural Turing Machine" in Tensorflow
  ☆1,045Updated 8 years ago
• google-deepmind / dnc
  A TensorFlow implementation of the Differentiable Neural Computer.
  ☆2,517Updated 4 years ago
• keplr-io / hera
  Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.
  ☆489Updated 8 years ago
• bstriner / keras-adversarial
  Keras Generative Adversarial Networks
  ☆870Updated 7 years ago
• basveeling / wavenet
  Keras WaveNet implementation
  ☆1,055Updated 2 years ago
• ilkarman / DeepLearningFrameworks
  Demo of running NNs across different frameworks
  ☆1,654Updated 3 years ago
• tensorflow / fold
  Deep learning with dynamic computation graphs in TensorFlow
  ☆1,823Updated 4 years ago
• vicariousinc / science_rcn
  Reference implementation of a two-level RCN model
  ☆661Updated 2 years ago
• MarkPKCollier / NeuralTuringMachine
  Tensorflow implementation of a Neural Turing Machine
  ☆610Updated 4 years ago
• itdxer / neupy
  NeuPy is a Tensorflow based python library for prototyping and building neural networks
  ☆735Updated 11 months ago
• Mostafa-Samir / DNC-tensorflow
  A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
  ☆579Updated 5 years ago
• adeshpande3 / Tensorflow-Programs-and-Tutorials
  Implementations of CNNs, RNNs, GANs, etc
  ☆1,058Updated 7 years ago
• chrisstroemel / Simple
  Experimental Global Optimization Algorithm
  ☆483Updated 7 years ago