Alternatives and similar repositories for LNN

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

• IBM / neuro-symbolic-ai
  Neuro-Symbolic AI Toolkit
  ☆108Updated 2 months ago
• ccclyu / awesome-deeplogic
  A collection of papers of neural-symbolic AI (mainly focus on NLP applications)
  ☆286Updated last year
• 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
• IBM / neuro-vector-symbolic-architectures
  PyTorch Implementation of the paper "A Neuro-vector-symbolic architecture for Solving Raven's Progressive Matrices" published in Nature M…
  ☆98Updated 2 months ago
• IBM / LOA
  Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
  ☆53Updated 2 months ago
• neurosymbolic-learning / Neurosymbolic_Tutorial
  Python notebooks for a tutorial on neurosymbolic programming
  ☆77Updated last year
• nerdimite / neuro-symbolic-ai-soc
  Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
  ☆59Updated 4 years ago
• gabegrand / world-models
  ☆213Updated 2 years ago
• teacherpeterpan / Logic-LLM
  The project page for "LOGIC-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning"
  ☆367Updated last year
• logictensornetworks / LTNtorch
  PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
  ☆29Updated last year
• IBM / ULKB
  A HOL-based framework for reasoning over knowledge graphs
  ☆26Updated 2 months ago
• logic-and-learning-lab / Popper
  An inductive logic programming system
  ☆245Updated 2 months ago
• benlipkin / linc
  🔗 LINC: Logical Inference via Neurosymbolic Computation [EMNLP2023]
  ☆78Updated last year
• IBM / commonsense-rl
  Knowledge-Aware RL agents with Commonsense Reasoning
  ☆79Updated 3 years ago
• azreasoners / NeurASP
  ☆49Updated 2 years ago
• GustikS / NeuraLogic
  Deep relational learning through differentiable logic programming.
  ☆112Updated 4 months ago
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆211Updated last year
• thuwzy / Neural-Symbolic-and-Probabilistic-Logic-Papers
  A curated paper list on neural symbolic and probabilistic logic.
  ☆130Updated 2 years ago
• ml-research / SLASH
  Scalable Neural-Probabilistic Answer Set Programming
  ☆17Updated last year
• ml-research / nsfr
  The Neuro-Symbolic Forward Reasoner
  ☆26Updated 2 years ago
• LogiTorch / logitorch
  LogiTorch is a PyTorch-based library for logical reasoning on natural language
  ☆73Updated last month
• victorvikram / ConceptARC
  Materials for ConceptARC paper
  ☆108Updated last year
• LukasZahradnik / PyNeuraLogic
  PyNeuraLogic lets you use Python to create Differentiable Logic Programs
  ☆302Updated this week
• asaparov / prontoqa
  Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.
  ☆154Updated 3 months ago
• Yale-LILY / FOLIO
  ☆136Updated last year
• gblackout / LogicLLaMA
  Large language model and dataset for natural language to first-order logic translation
  ☆73Updated 2 years ago
• gpoesia / peano
  An environment for learning formal mathematical reasoning from scratch
  ☆70Updated last year