Alternatives and similar repositories for Attend-Infer-Repeat---Pytorch:

Users that are interested in Attend-Infer-Repeat---Pytorch are comparing it to the libraries listed below

• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆72Updated 5 years ago
• miyosuda / scan
  SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆54Updated 7 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• stelzner / monet
  An implementation of the MONet model for unsupervised scene decomposition in PyTorch
  ☆58Updated 2 years ago
• pemami4911 / EfficientMORL
  EfficientMORL (ICML'21)
  ☆22Updated 3 years ago
• dhh1995 / SCL
  PyTorch implementation for The Scattering Compositional Learner (SCL)
  ☆32Updated 4 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• jacobandreas / l3
  Learning with latent language
  ☆50Updated 3 years ago
• addtt / attend-infer-repeat-pytorch
  Attend Infer Repeat (AIR) in PyTorch
  ☆21Updated 6 months ago
• aakhundov / tf-attend-infer-repeat
  TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).
  ☆42Updated 7 years ago
• henry-prior / multimodal-rl
  Solving reinforcement learning tasks which require language and vision
  ☆32Updated last year
• akosiorek / attend_infer_repeat
  A Tensorfflow implementation of Attend, Infer, Repeat
  ☆81Updated 6 years ago
• stelzner / supair
  Implementation of Sum-Product Attend-Infer-Repeat
  ☆30Updated 4 years ago
• mbchang / crl
  Automatically Composing Representation Transformations as a Means for Generalization
  ☆24Updated 5 years ago
• anirudh9119 / zforcing_nips17
  Z Forcing: Training Stochastic RNN's, NIPS'17
  ☆32Updated 7 years ago
• thanard / causal-infogan
  ☆85Updated 5 years ago
• dai-dao / Grounded-Language-Learning-in-Pytorch
  Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)
  ☆34Updated 7 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆41Updated 6 years ago
• sjoerdvansteenkiste / Relational-NEM
  Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.
  ☆73Updated 2 years ago
• largelymfs / svpg_REINFORCE
  Stein Variational Policy Gradient for REINFORCE
  ☆17Updated 7 years ago
• rizar / CLOSURE
  Systematic generalization test for CLEVR
  ☆15Updated 4 years ago
• Kaixhin / Dist-A3C
  Distributed A3C
  ☆34Updated 7 years ago
• ecker-lab / object-centric-representation-benchmark
  Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".
  ☆36Updated 3 years ago
• kdexd / probnmn-clevr
  Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
  ☆66Updated last year
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• thjashin / gp-infer-net
  Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
  ☆41Updated 2 years ago
• AIcrowd / neurips2019_disentanglement_challenge_starter_kit
  Starter Kit for the NeurIPS 2019 Disentanglement Challenge
  ☆33Updated 2 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆120Updated 6 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 5 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 6 years ago