Alternatives and similar repositories for ntm-one-shot

Users that are interested in ntm-one-shot are comparing it to the libraries listed below

• hmishra2250 / NTM-One-Shot-TF
  One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
  ☆244Updated 6 years ago
• rinuboney / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
  ☆242Updated 8 years ago
• karpathy / paper-notes
  Random notes on papers, likely a short-term repo.
  ☆674Updated 8 years ago
• CuriousAI / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
  ☆517Updated 7 years ago
• Mostafa-Samir / DNC-tensorflow
  A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
  ☆580Updated 5 years ago
• MLWave / extremely-simple-one-shot-learning
  Extremely simple one-shot learning in Python
  ☆182Updated 9 years ago
• jimfleming / recurrent-entity-networks
  TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".
  ☆273Updated 7 years ago
• IshmaelBelghazi / ALI
  Adversarially Learned Inference
  ☆311Updated 6 years ago
• KnHuq / Dynamic-Tensorflow-Tutorial
  Tensorflow tutorial of building different dynamic recurrent neural network
  ☆500Updated 7 years ago
• dennybritz / tf-rnn
  Practical Examples for RNNs in Tensorflow
  ☆483Updated 8 years ago
• clvrai / Relation-Network-Tensorflow
  Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.
  ☆321Updated 6 years ago
• GokuMohandas / fast-weights
  🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
  ☆268Updated 6 years ago
• wojciechz / learning_to_execute
  Learning to Execute
  ☆477Updated 9 years ago
• jzilly / RecurrentHighwayNetworks
  Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm
  ☆402Updated 5 years ago
• DeNeutoy / act-tensorflow
  Adaptive Computation Time algorithm in Tensorflow
  ☆256Updated 8 years ago
• oduerr / dl_tutorial
  Tutorials for deep learning
  ☆253Updated 7 years ago
• avisingh599 / visual-qa
  [Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering
  ☆477Updated 6 years ago
• ericjang / draw
  TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"
  ☆527Updated 6 years ago
• hardmaru / supercell
  supercell
  ☆192Updated 7 years ago
• Enny1991 / PLSTM
  ☆137Updated 7 years ago
• OlavHN / bnlstm
  Batch normalized LSTM for tensorflow
  ☆179Updated 8 years ago
• carpedm20 / pixel-rnn-tensorflow
  in progress
  ☆495Updated 6 years ago
• mikesj-public / convolutional_autoencoder
  Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
  ☆169Updated 7 years ago
• jacobandreas / nmn2
  Neural module networks
  ☆401Updated 7 years ago
• snf / keras-fractalnet
  FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals
  ☆156Updated 7 years ago
• coreylynch / grid-lstm
  Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf
  ☆188Updated 9 years ago
• EderSantana / seya
  Bringing up some extra Cosmo to Keras.
  ☆378Updated 8 years ago
• jingweiz / pytorch-dnc
  Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
  ☆277Updated 7 years ago
• zergylord / oneshot
  ☆69Updated 8 years ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 4 years ago