Alternatives and similar repositories for NeurASP

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

• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆30Updated last year
• ml-research / nsfr
  The Neuro-Symbolic Forward Reasoner
  ☆24Updated 2 years ago
• claireaoi / hierarchical-rule-induction
  Neuro-Symbolic Hierarchical Rule Induction
  ☆14Updated 2 years ago
• hkrsnd / dilp-st
  ☆10Updated 4 years ago
• ema-marconato / NeSy-CL
  Codebase for Neuro-Symbolic Continual Learning.
  ☆22Updated last year
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆50Updated 2 years ago
• ema-marconato / reasoning-shortcuts
  Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
  ☆21Updated last year
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated 2 years ago
• gblackout / NLIL
  Neural Logic Inductive Learning
  ☆44Updated 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
  ☆47Updated 3 months ago
• ml-research / SLASH
  Scalable Neural-Probabilistic Answer Set Programming
  ☆17Updated last year
• IBM / commonsense-rl
  Knowledge-Aware RL agents with Commonsense Reasoning
  ☆78Updated 3 years ago
• joshuacnf / paradox-learning2reason
  ☆35Updated 7 months ago
• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆63Updated 5 months ago
• tommasocarraro / LTNtorch
  PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
  ☆121Updated 10 months ago
• logic-and-learning-lab / ilp-experiments
  Experimentation framework for Popper
  ☆23Updated 2 weeks ago
• ilaspltd / ILASP-releases
  ☆37Updated 8 months ago
• ml-research / NeSyConceptLearner
  ☆19Updated 2 years ago
• ML-KULeuven / deepproblog
  DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predi…
  ☆254Updated 11 months ago
• logictensornetworks / logictensornetworks
  Deep Learning and Logical Reasoning from Data and Knowledge
  ☆307Updated 8 months ago
• thuwzy / Neural-Symbolic-and-Probabilistic-Logic-Papers
  A curated paper list on neural symbolic and probabilistic logic.
  ☆128Updated last year
• art-ai / pypsdd
  The Python PSDD Package
  ☆17Updated 2 weeks ago
• uclnlp / ctp
  Conditional Theorem Proving
  ☆53Updated 4 years ago
• JindongJiang / GNM
  Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"
  ☆35Updated last year
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆15Updated 6 months ago
• neurosymbolic-learning / Neurosymbolic_Tutorial
  Python notebooks for a tutorial on neurosymbolic programming
  ☆77Updated last year
• QuMuLab / python-nnf
  Manipulate NNF (Negation Normal Form) logical sentences
  ☆18Updated 2 years ago
• nerdimite / neuro-symbolic-ai-soc
  Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
  ☆57Updated 3 years ago
• mtensor / rulesynthesis
  Code for "Learning Compositional Rules via Neural Program Synthesis"
  ☆60Updated 4 years ago
• rfeinman / GNS-Modeling
  Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
  ☆27Updated 4 years ago