Alternatives and similar repositories for noisy_units:

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

• mdenil / acdc-torch
  ACDC: A Structured Efficient Linear Layer
  ☆43Updated 9 years ago
• didw / lrcn.torch
  ☆21Updated 8 years ago
• CosmosShadow / DNI_Torch
  DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Torch
  ☆29Updated 8 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 8 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• diogo149 / theano_fractional_max_pooling
  Fractional Max Pooling implementation in Theano
  ☆21Updated 9 years ago
• Avmb / lowrank-gru
  Gated Recurrent Unit with Low-rank matrix factorization
  ☆34Updated 9 years ago
• jhjin / flattened-cnn
  Flattened convolutional neural networks (1D convolution modules for Torch nn)
  ☆61Updated 9 years ago
• dirkweissenborn / mufuru
  Tensorflow Implementation of Multi-Function Recurrent Unit
  ☆23Updated 8 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆46Updated 7 years ago
• kyunghyuncho / skip-thoughts
  ☆23Updated 9 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆31Updated 9 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆56Updated 7 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 7 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆71Updated 6 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 8 years ago
• MaximumEntropy / cudnn_rnn_theano_benchmarks
  ☆22Updated 8 years ago
• kefirski / bytenet
  Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper
  ☆46Updated 7 years ago
• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆91Updated 8 years ago
• cooijmanstim / recurrent-batch-normalization
  ☆64Updated 8 years ago
• braingineer / ikelos
  a keras toolkit
  ☆35Updated 8 years ago
• carpedm20 / RCMN
  Recurrent Convolutional Memory Network (in progress)
  ☆28Updated 8 years ago
• hunterlang / mpmz
  miniplaces2 deep residual network in neon
  ☆16Updated 9 years ago
• Philip-Bachman / MatNets-NIPS
  Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
  ☆14Updated 8 years ago
• masabdi / multi-resnet
  Multi-Residual Networks
  ☆23Updated 8 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• craffel / lstm_benchmarks
  Benchmarking different LSTM libraries
  ☆24Updated 8 years ago
• kamperh / couscous
  Siamese neural networks for representation learning using Theano.
  ☆21Updated 9 years ago