Alternatives and similar repositories for ntm-meta-learning:

Users that are interested in ntm-meta-learning are comparing it to the libraries listed below

• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆40Updated 6 years ago
• mengf1 / PAL
  Policy based Active Learning with DQN (EMNLP-2017)
  ☆88Updated 6 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 6 years ago
• sagelywizard / snail
  A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper
  ☆98Updated 6 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆54Updated 7 years ago
• janericlenssen / noise-as-targets-tensorflow
  Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…
  ☆23Updated 7 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆46Updated 7 years ago
• takerum / vat
  Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
  ☆110Updated 7 years ago
• kondiz / fraternal-dropout
  ☆63Updated 7 years ago
• miyosuda / scan
  SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆54Updated 7 years ago
• vineetjain96 / one-shot-mann
  Tensorflow Implementation of One-Shot Learning with Memory Augmented Neural Network
  ☆47Updated 7 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• zergylord / oneshot
  ☆68Updated 7 years ago
• vene / sparsemap
  SparseMAP: differentiable sparse structure inference
  ☆111Updated 6 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆63Updated 8 years ago
• harvardnlp / sa-vae
  ☆153Updated 7 years ago
• kefirski / contiguous-succotash
  Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
  ☆71Updated 3 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆56Updated 7 years ago
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆86Updated 6 years ago
• imatge-upc / danifojo-2018-repeatrnn
  Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
  ☆35Updated 7 years ago
• clvrai / MAML-tf
  Tensorflow Implementation of MAML
  ☆54Updated 7 years ago
• soskek / variational_dropout_sparsifies_dnn
  Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer
  ☆18Updated 7 years ago
• kimhc6028 / pathnet-pytorch
  PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆80Updated 7 years ago
• XingxingZhang / td-treelstm
  Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf
  ☆83Updated 8 years ago
• greentfrapp / cond-shift-neurons
  Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)
  ☆28Updated 6 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 5 years ago
• sbos / gmn
  Generative Matching Networks
  ☆30Updated 7 years ago