Alternatives and similar repositories for neural_production_systems

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

• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• choidami / sst
  ☆49Updated 4 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• benbogin / obverter
  Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation
  ☆19Updated 3 years ago
• mbchang / crl
  Automatically Composing Representation Transformations as a Means for Generalization
  ☆24Updated 6 years ago
• dido1998 / Recurrent-Independent-Mechanisms
  Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
  ☆100Updated 3 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆72Updated 2 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 6 years ago
• LauraRuis / groundedSCAN
  Grounded SCAN data set.
  ☆69Updated 3 years ago
• GuyLor / Direct-VAE
  Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"
  ☆14Updated 4 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• Joshua-Ren / Neural_Iterated_Learning
  Pytorch implementation of the paper 'Compositional language emerge in a neural iterated learning' (ICLR 2020).
  ☆15Updated 3 years ago
• taylorwwebb / emergent_symbols
  Code for 'Emergent Symbols through Binding in External Memory'.
  ☆20Updated 2 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆84Updated 5 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 2 years ago
• JindongJiang / GNM
  Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"
  ☆35Updated last year
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆23Updated 2 years ago
• CW-Huang / torchkit
  ☆37Updated 5 years ago
• Miffyli / nle-sample-factory-baseline
  ☆22Updated 2 months ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 4 years ago
• mmrl / disent-and-gen
  Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
  ☆22Updated 3 years ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆25Updated 2 years ago
• trishullab / near
  ☆24Updated 4 years ago
• deep-spin / sparse-marginalization-lvm
  Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…
  ☆28Updated 4 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆127Updated 6 years ago
• cle-ros / RoutingNetworks
  ☆65Updated 4 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆48Updated 3 years ago