Alternatives and similar repositories for ntm

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

• code-terminator / DilatedRNN
  Tensorflow implementation for DilatedRNN
  ☆354Updated 8 years ago
• hmishra2250 / NTM-One-Shot-TF
  One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
  ☆238Updated 7 years ago
• MarkPKCollier / NeuralTuringMachine
  Tensorflow implementation of a Neural Turing Machine
  ☆610Updated 4 years ago
• jingweiz / pytorch-dnc
  Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
  ☆277Updated 7 years ago
• rasmusbergpalm / recurrent-relational-networks
  Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
  ☆203Updated 3 years ago
• DeNeutoy / act-tensorflow
  Adaptive Computation Time algorithm in Tensorflow
  ☆260Updated 8 years ago
• clvrai / Relation-Network-Tensorflow
  Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.
  ☆321Updated 7 years ago
• ixaxaar / pytorch-dnc
  Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch
  ☆347Updated this week
• L0SG / relational-rnn-pytorch
  An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
  ☆248Updated 6 years ago
• loudinthecloud / pytorch-ntm
  Neural Turing Machines (NTM) - PyTorch Implementation
  ☆601Updated 7 years ago
• vineetjain96 / one-shot-mann
  Tensorflow Implementation of One-Shot Learning with Memory Augmented Neural Network
  ☆46Updated 7 years ago
• nsfinkelstein / hierarchical-rnn
  Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
  ☆135Updated 8 years ago
• hardmaru / supercell
  supercell
  ☆192Updated 8 years ago
• tristandeleu / ntm-one-shot
  One-shot Learning with Memory-Augmented Neural Networks
  ☆422Updated 7 years ago
• JoergFranke / ADNC
  Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
  ☆95Updated 3 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆144Updated 3 years ago
• ariseff / overcoming-catastrophic
  Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
  ☆305Updated 5 years ago
• philipperemy / tensorflow-phased-lstm
  Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
  ☆128Updated 6 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆267Updated 6 years ago
• titu1994 / tf-eager-examples
  A set of simple examples ported from PyTorch for Tensorflow Eager Execution
  ☆73Updated 7 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 8 years ago
• hannw / nlstm
  Nested LSTM Cell
  ☆252Updated 7 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆205Updated 3 years ago
• mrahtz / easy-tf-log
  Easy TensorFlow logging for quick prototypes
  ☆110Updated 4 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆84Updated 8 years ago
• imatge-upc / skiprnn-2017-telecombcn
  Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
  ☆123Updated 2 years ago
• GokuMohandas / fast-weights
  🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
  ☆270Updated 6 years ago
• jhui / deep_learning
  ☆85Updated 3 years ago
• atgambardella / pytorch-es
  Evolution Strategies in PyTorch
  ☆355Updated 8 years ago
• flomlo / ntm_keras
  An implementation of the Neural Turing Machine as a keras recurrent layer.
  ☆139Updated 8 years ago