Alternatives and similar repositories for SRU

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

• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• soskek / variational_dropout_sparsifies_dnn
  Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer
  ☆18Updated 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 9 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 7 years ago
• pierrelux / rlss2017
  ☆17Updated 8 years ago
• rdipietro / mist-rnns
  Mixed History Recurrent Neural Networks
  ☆47Updated 7 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 8 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• rarilurelo / tensorflow-synthetic_gradient
  ☆16Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• caglar / dntm
  D-NTM paper repo
  ☆25Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• mrdrozdov-github / pytorch-extras
  Some extra features for pytorch.
  ☆50Updated 8 years ago
• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 8 years ago
• ikostrikov / pytorch-rl
  ☆56Updated 6 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆34Updated 8 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 8 years ago
• jpeg729 / pytorch_bits
  ☆80Updated 7 years ago
• moskomule / eve.pytorch
  ☆33Updated 3 years ago
• iassael / torch-policy-gradient
  Deterministic Policy Gradient using torch7
  ☆43Updated 9 years ago
• ermongroup / markov-chain-gan
  Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
  ☆80Updated 7 years ago