ml-research / NeSyConceptLearner

Related projects ⓘ

Alternatives and complementary repositories for NeSyConceptLearner

• JindongJiang / GNM
  Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"
  ☆35Updated 8 months ago
• ema-marconato / NeSy-CL
  Codebase for Neuro-Symbolic Continual Learning.
  ☆19Updated last year
• rfeinman / GNS-Modeling
  Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
  ☆26Updated 3 years ago
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆26Updated 11 months ago
• ml-research / NeSyXIL
  ☆32Updated 3 years ago
• trishullab / near
  ☆24Updated 3 years ago
• ml-research / nsfr
  The Neuro-Symbolic Forward Reasoner
  ☆22Updated last year
• tomsilver / policies_logic_programs
  Few-shot Bayesian Imitation Learning with Policies as Logic over Programs
  ☆18Updated 2 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated last year
• facebookresearch / productive_concept_learning
  Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…
  ☆16Updated 3 years ago
• claireaoi / hierarchical-rule-induction
  Neuro-Symbolic Hierarchical Rule Induction
  ☆11Updated last year
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 3 months ago
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆14Updated last year
• wildphoton / Compositional-Generalization
  [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…
  ☆13Updated 2 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆10Updated 9 months ago
• henry-prior / multimodal-rl
  Solving reinforcement learning tasks which require language and vision
  ☆32Updated last year
• nuric / pix2rule
  From pixels to symbolic rule learning
  ☆12Updated 2 years ago
• azreasoners / NeurASP
  ☆40Updated 11 months ago
• chandar-lab / Lifelong-Hanabi
  A Continual Multi-agent RL testbed based on Hanabi
  ☆30Updated 3 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• k4ntz / NUDGE
  Logic Reinforcement Learning
  ☆15Updated 3 months ago
• sarthmit / BRIMs
  Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural …
  ☆28Updated 3 years ago
• google-deepmind / dm_fast_mapping
  ☆54Updated 3 years ago
• IBM / LOA
  Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
  ☆39Updated last year
• you68681 / GPAR
  ☆19Updated 7 months ago
• addtt / object-centric-library
  Library for the training and evaluation of object-centric models (ICML 2022)
  ☆65Updated last year
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆29Updated 2 years ago
• pokaxpoka / rad_procgen
  RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)
  ☆18Updated 3 years ago