Alternatives and similar repositories for dnc

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

• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• psavine42 / fun-with-dnc
  Pytorch Implementation of Deepmind's 'Hybrid computing using a neural network with dynamic external memory' (Differentiable Neural Comput…
  ☆19Updated 7 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago
• SigmaQuan / NTM-Keras
  An attempt at replicating "Neural Turing Machines" in Keras.
  ☆34Updated 8 years ago
• claymcleod / tf-differentiable-neural-computer
  Differentiable Neural Computer implementation in Tensorflow
  ☆35Updated 8 years ago
• JoergFranke / ADNC
  Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
  ☆94Updated 2 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
• jacobandreas / neuralese
  Translating neuralese
  ☆44Updated 8 years ago
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆40Updated 6 years ago
• inmoonlight / Relation-Network
  Tensorflow implementation of Relation Network (bAbI dataset)
  ☆32Updated 6 years ago
• caglar / dntm
  D-NTM paper repo
  ☆25Updated 8 years ago
• EmilienDupont / vae-concrete
  Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
  ☆51Updated 7 years ago
• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 8 years ago
• gd-zhang / ACKTR
  Actor Critic using Kronecker-Factored Trust Region
  ☆19Updated 6 years ago
• PFCM / neural-episodic-control
  ☆30Updated 8 years ago
• enalisnick / paper_summaries
  Summaries and minimal implementations of ML / statistics research articles.
  ☆39Updated 4 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago
• synpon / prog_nn
  A Quick and Dirty Progressive Neural Network written in TensorFlow.
  ☆52Updated 7 years ago
• nhynes / abc
  SeqGAN but with more bells and whistles
  ☆24Updated 7 years ago
• facebookresearch / TPRNN
  TargetProp for RNNs
  ☆27Updated 6 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆132Updated 7 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 7 years ago
• facebookresearch / translagent
  Code for Emergent Translation in Multi-Agent Communication
  ☆80Updated 7 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• arunvenk / DaD
  Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …
  ☆33Updated 8 years ago
• yaroslavvb / imperative
  imperative programming in TensorFlow
  ☆18Updated 8 years ago
• dai-dao / Grounded-Language-Learning-in-Pytorch
  Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)
  ☆34Updated 7 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 7 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 6 years ago