Alternatives and similar repositories for nade_k

Users that are interested in nade_k are comparing it to the libraries listed below

• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 5 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 9 years ago
• Smerity / tf-ham
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆51Updated 9 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 9 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 9 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 9 years ago
• mdenil / acdc-torch
  ACDC: A Structured Efficient Linear Layer
  ☆44Updated 9 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• MaximumEntropy / cudnn_rnn_theano_benchmarks
  ☆22Updated 8 years ago
• Nat-D / SVAE-Torch
  ☆11Updated 8 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 7 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• mbhenaff / spectral-lib
  ☆45Updated 9 years ago
• dirkweissenborn / mufuru
  Tensorflow Implementation of Multi-Function Recurrent Unit
  ☆23Updated 9 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 9 years ago
• arayabrain / GenerativeControl
  Code for a generative controller for the AI Gym cartpole task
  ☆15Updated 8 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• Avmb / clweadv
  Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
  ☆22Updated 9 years ago
• jych / cle
  ☆89Updated 8 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• shamidreza / deepcca
  a python code for deep canonical correlation analysis (dcca) written using numpy
  ☆37Updated 4 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 8 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• google-deepmind / mnist-cluttered
  Cluttered MNIST Dataset
  ☆53Updated 10 years ago