Alternatives and similar repositories for NeuraLogic

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

• IBM / neuro-symbolic-ai
  Neuro-Symbolic AI Toolkit
  ☆108Updated 2 months ago
• ML-KULeuven / deepproblog
  DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predi…
  ☆280Updated last year
• logictensornetworks / logictensornetworks
  Deep Learning and Logical Reasoning from Data and Knowledge
  ☆326Updated last year
• tommasocarraro / LTNtorch
  PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
  ☆137Updated last year
• lab-v2 / pyreason
  An explainable inference software supporting annotated, real valued, graph based and temporal logic
  ☆311Updated 3 weeks ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆51Updated last year
• stefano-bragaglia / DePYsible
  An implementation of Defeasible Logic in Python
  ☆15Updated 7 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆53Updated 2 years ago
• ML-KULeuven / deepstochlog
  ☆37Updated last year
• maxadamski / reasonable-embeddings
  A novel approach to learning concept embeddings and approximate reasoning in ALC knowledge bases with neural networks
  ☆13Updated 2 years ago
• uclnlp / ctp
  Conditional Theorem Proving
  ☆53Updated 4 years ago
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆16Updated 10 months ago
• nerdimite / neuro-symbolic-ai-soc
  Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
  ☆59Updated 4 years ago
• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆68Updated last week
• crunchiness / lernd
  Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
  ☆26Updated 2 years ago
• srlearn / srlearn
  ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
  ☆31Updated 3 years ago
• 921kiyo / symbolic-rl
  Symbolic Reinforcement Learning using Inductive Logic Programming
  ☆62Updated 2 years ago
• IBM / ULKB
  A HOL-based framework for reasoning over knowledge graphs
  ☆26Updated 2 months ago
• COLAB2 / midca
  The Metacognitive Integrated Dual-Cycle Architecture (MIDCA)
  ☆27Updated 2 years ago
• ML-KULeuven / klay
  Sparse Circuits on the GPU (ICLR2025)
  ☆19Updated 2 weeks ago
• azreasoners / NeurASP
  ☆49Updated 2 years ago
• dice-group / Ontolearn
  OWL Class Expressions Learning in Python
  ☆58Updated this week
• Kappa-Dev / ReGraph
  Tool for building graph-based hierarchical knowledge representation systems
  ☆87Updated 2 years ago
• logictensornetworks / LTNtorch
  PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
  ☆29Updated last year
• arangoml / fastgraphml
  Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
  ☆68Updated last year
• DennisCraandijk / DL-abstract-argumentation
  Neuro-symbolic approaches to reasoning problems from abstract argumentation
  ☆23Updated 3 years ago
• ml-research / NeSyConceptLearner
  ☆19Updated 2 years ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆22Updated 2 years ago
• hkrsnd / dilp-st
  ☆10Updated 4 years ago
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆92Updated 3 years ago