Alternatives and similar repositories for pix2rule

Users that are interested in pix2rule are comparing it to the libraries listed below

• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆27Updated last year
• ml-research / nsfr
  The Neuro-Symbolic Forward Reasoner
  ☆24Updated last year
• JindongJiang / GNM
  Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"
  ☆35Updated last year
• azreasoners / NeurASP
  ☆45Updated last year
• hkrsnd / dilp-st
  ☆10Updated 4 years ago
• khalil-research / ARGA-AAAI23
  Abstract Reasoning with Graph Abstractions (ARGA) implementation
  ☆61Updated 11 months ago
• spike-imperial / FastLAS
  ☆19Updated 3 months ago
• ema-marconato / reasoning-shortcuts
  Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
  ☆19Updated last year
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆15Updated 4 months ago
• ml-research / pix2code
  The Pix2Code framework: generalizable, interpretable and revisable visual concept learning
  ☆14Updated 2 months ago
• rfeinman / GNS-Modeling
  Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
  ☆27Updated 3 years ago
• iglu-contest / gridworld
  A reinforcement learning environment for the IGLU 2022 at NeurIPS
  ☆33Updated 2 years ago
• HEmile / neurosymbolic-diffusion
  We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning
  ☆33Updated 2 weeks ago
• rujiewu / Bongard-OpenWorld
  This is the official code implementation of Bongard-OpenWorld (ICLR 2024).
  ☆11Updated 4 months ago
• claireaoi / hierarchical-rule-induction
  Neuro-Symbolic Hierarchical Rule Induction
  ☆14Updated 2 years ago
• taylorwwebb / emergent_symbols
  Code for 'Emergent Symbols through Binding in External Memory'.
  ☆20Updated 2 years ago
• tommasocarraro / LTNtorch
  PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
  ☆112Updated 8 months ago
• ema-marconato / NeSy-CL
  Codebase for Neuro-Symbolic Continual Learning.
  ☆22Updated last year
• ml-research / NeSyConceptLearner
  ☆18Updated 2 years ago
• LauraRuis / groundedSCAN
  Grounded SCAN data set.
  ☆69Updated 3 years ago
• ml-research / NeSyXIL
  ☆33Updated 3 years ago
• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆57Updated 2 months ago
• neurosymbolic-learning / Neurosymbolic_Tutorial
  Python notebooks for a tutorial on neurosymbolic programming
  ☆72Updated last year
• IBM / LOA
  Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
  ☆46Updated 3 weeks ago
• mlepori1 / NeuroSurgeon
  NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers
  ☆41Updated 3 months ago
• thuwzy / Neural-Symbolic-and-Probabilistic-Logic-Papers
  A curated paper list on neural symbolic and probabilistic logic.
  ☆128Updated last year
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated last year
• kavigupta / neurosym-lib
  Neurosymbolic Library
  ☆25Updated 3 weeks ago
• IBM / TensorLNN
  Scalable Training of Propositional Logical Neural Networks.
  ☆13Updated 3 years ago
• victorvikram / ConceptARC
  Materials for ConceptARC paper
  ☆94Updated 6 months ago