Alternatives and similar repositories for NTM-Keras

Users that are interested in NTM-Keras are comparing it to the libraries listed below

• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 8 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
• pemami4911 / awesome-hyperparams
  A curated list of awesome hyperparameters for deep learning
  ☆78Updated 7 years ago
• Smerity / tf-ham
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆51Updated 9 years ago
• caglar / dntm
  D-NTM paper repo
  ☆25Updated 8 years ago
• cooijmanstim / recurrent-batch-normalization
  ☆64Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆66Updated 7 years ago
• JoergFranke / recnet
  RecNet - Recurrent Neural Network Framework
  ☆73Updated 8 years ago
• takerum / adversarial_autoencoder
  Implementation of Adversarial Autoencoder with Theano
  ☆40Updated 8 years ago
• farizrahman4u / RNN-EM
  Recurrent Neural Network with External Memory in Keras
  ☆37Updated 9 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
• nasimrahaman / antipasti-tf
  Antipasti-TF is a lightweight wrapper around Tensorflow for building convolutional neural networks with complex architechtures.
  ☆16Updated 8 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆155Updated 7 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
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 8 years ago
• braingineer / ikelos
  a keras toolkit
  ☆35Updated 8 years ago
• Enny1991 / PLSTM
  ☆137Updated 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
• Kaixhin / malmo-challenge
  Malmo Collaborative AI Challenge - Team Pig Catcher
  ☆65Updated 8 years ago
• Miej / Dynamic_Neural_Manifold
  ☆112Updated 9 months ago
• synpon / prog_nn
  A Quick and Dirty Progressive Neural Network written in TensorFlow.
  ☆52Updated 6 years ago
• teganmaharaj / zoneout
  Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.
  ☆78Updated 7 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆31Updated 9 years ago
• neuralix / google_evolution
  ☆53Updated 8 years ago
• SeanNaren / QlearningExample.torch
  Implementation of a simple example of Q learning in Torch.
  ☆50Updated 8 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
• kentonl / ran
  ☆45Updated 7 years ago