Alternatives and similar repositories for dnc

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

• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 6 years ago
• jacobandreas / l3
  Learning with latent language
  ☆51Updated 4 years ago
• JoergFranke / ADNC
  Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
  ☆97Updated 3 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 6 years ago
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 5 years ago
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆41Updated 7 years ago
• dhh1995 / SCL
  PyTorch implementation for The Scattering Compositional Learner (SCL)
  ☆32Updated 5 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆26Updated 7 years ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆120Updated 3 years ago
• TimDettmers / transformer-xl
  ☆65Updated 5 years ago
• thaihungle / SAM
  Self-attentive Associative Memory & SAM-based Two-Memory Model
  ☆60Updated 3 years ago
• facebookresearch / RTFM
  Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".
  ☆39Updated 4 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆43Updated 7 years ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 3 years ago
• deep-spin / lp-sparsemap
  LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs
  ☆41Updated 2 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆141Updated 5 years ago
• google-deepmind / slim-dataset
  Datasets used to train Spatial Language Integrating Model (SLIM) in the ‘Encoding Spatial Relations from Natural Language’ paper.
  ☆36Updated 7 years ago
• ixaxaar / pytorch-dnc
  Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch
  ☆347Updated last month
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆47Updated 7 years ago
• jacobandreas / bibs
  Annotated bibliographies.
  ☆40Updated 6 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆24Updated 8 years ago
• frankaging / Reason-SCAN
  ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS…
  ☆19Updated 4 years ago
• imatge-upc / danifojo-2018-repeatrnn
  Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
  ☆35Updated 7 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 3 years ago
• facebookresearch / translagent
  Code for Emergent Translation in Multi-Agent Communication
  ☆81Updated 7 years ago