Alternatives and similar repositories for recurrent-batch-normalization:

Users that are interested in recurrent-batch-normalization are comparing it to the libraries listed below

• pbhatia243 / tf-layer-norm
  TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
  ☆111Updated 8 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• fomorians / lstm-odyssey
  Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.
  ☆95Updated 7 years ago
• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆91Updated 8 years ago
• jych / cle
  ☆88Updated 8 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆110Updated 7 years ago
• bastings / nn4nlp2017-code-pytorch
  Code Samples from Neural Networks for NLP
  ☆72Updated 7 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆31Updated 9 years ago
• MaximumEntropy / cudnn_rnn_theano_benchmarks
  ☆22Updated 7 years ago
• ryankiros / layer-norm
  Code and models from the paper "Layer Normalization"
  ☆244Updated 8 years ago
• kentonl / ran
  ☆45Updated 7 years ago
• glample / rnn-benchmarks
  Benchmarks for several RNN variations with different deep-learning frameworks
  ☆169Updated 5 years ago
• siemanko / deeprl
  Universal library for deep reinforcement learning.
  ☆38Updated 8 years ago
• benanne / nervana_theano
  A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu
  ☆34Updated 9 years ago
• Unbabel / sparsemax
  ☆9Updated 8 years ago
• kamperh / couscous
  Siamese neural networks for representation learning using Theano.
  ☆21Updated 9 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 7 years ago
• raindeer / seq2seq_experiments
  Learning to execute Python in Tensorflow and other Seq2seq examples
  ☆42Updated 8 years ago
• mila-iqia / blocks-extras
  A collection of extensions to the Blocks framework
  ☆27Updated 8 years ago
• Smerity / tf-ham
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆51Updated 8 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆45Updated 8 years ago
• teganmaharaj / zoneout
  Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.
  ☆77Updated 7 years ago
• SeanNaren / QlearningExample.torch
  Implementation of a simple example of Q learning in Torch.
  ☆50Updated 7 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 7 years ago
• craffel / nntools
  Fork of https://github.com/Lasagne/Lasagne
  ☆63Updated 9 years ago
• pascanur / trainingRNNs
  ☆86Updated 11 years ago
• nyu-dl / dl4mt-cdec
  ☆167Updated 8 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• nyu-dl / dl4mt-multi
  ☆121Updated 7 years ago