Alternatives and similar repositories for ntm-pytorch

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

• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 6 years ago
• brendenlake / AAI-site
  NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science
  ☆132Updated 6 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• kdexd / probnmn-clevr
  Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
  ☆67Updated 2 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• ixaxaar / pytorch-dnc
  Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch
  ☆345Updated 2 months ago
• LauraRuis / groundedSCAN
  Grounded SCAN data set.
  ☆69Updated 3 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• jacobandreas / l3
  Learning with latent language
  ☆51Updated 4 years ago
• dido1998 / Recurrent-Independent-Mechanisms
  Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
  ☆100Updated 3 years ago
• devendrachaplot / DeepRL-Grounding
  Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
  ☆237Updated 7 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 2 years ago
• ICLR / iclr.github.io
  ☆83Updated 5 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆43Updated 6 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 5 years ago
• AndreasMadsen / stable-nalu
  Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)
  ☆146Updated 4 years ago
• amzn / metalearn-leap
  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…
  ☆148Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• facebookresearch / RTFM
  Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".
  ☆38Updated 3 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 5 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆141Updated 5 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆126Updated 6 years ago
• dhh1995 / SCL
  PyTorch implementation for The Scattering Compositional Learner (SCL)
  ☆32Updated 5 years ago
• henry-prior / multimodal-rl
  Solving reinforcement learning tasks which require language and vision
  ☆33Updated 2 years ago
• rizar / CLOSURE
  Systematic generalization test for CLEVR
  ☆15Updated 5 years ago
• shaohua0116 / demo2program
  An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonw…
  ☆102Updated 2 years ago
• google-deepmind / dynamic-kanerva-machines
  This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…
  ☆43Updated 6 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago