azreasoners / NeurASP

Related projects ⓘ

Alternatives and complementary repositories for NeurASP

• claireaoi / hierarchical-rule-induction
  Neuro-Symbolic Hierarchical Rule Induction
  ☆11Updated last year
• logic-and-learning-lab / ilp-experiments
  Experimentation framework for Popper
  ☆20Updated 6 months 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
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆26Updated 11 months ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆19Updated last year
• joshuacnf / paradox-learning2reason
  ☆33Updated 8 months ago
• logictensornetworks / LTNtorch
  PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
  ☆24Updated last month
• ilaspltd / ILASP-releases
  ☆35Updated last week
• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆54Updated 3 weeks ago
• gblackout / NLIL
  Neural Logic Inductive Learning
  ☆41Updated 2 years ago
• ml-research / nsfr
  The Neuro-Symbolic Forward Reasoner
  ☆22Updated last year
• ema-marconato / reasoning-shortcuts
  Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
  ☆16Updated 8 months ago
• ai-systems / DILP-Core
  Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Jo…
  ☆49Updated 3 years ago
• IBM / commonsense-rl
  Knowledge-Aware RL agents with Commonsense Reasoning
  ☆75Updated 2 years ago
• ml-research / SLASH
  Scalable Neural-Probabilistic Answer Set Programming
  ☆17Updated 5 months ago
• nuric / pix2rule
  From pixels to symbolic rule learning
  ☆12Updated 3 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆45Updated last year
• QuMuLab / python-nnf
  Manipulate NNF (Negation Normal Form) logical sentences
  ☆17Updated last year
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆14Updated last year
• ML-KULeuven / deepstochlog
  ☆26Updated 9 months ago
• eth-sri / dl2
  DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, out…
  ☆83Updated 3 months ago
• uclnlp / ctp
  Conditional Theorem Proving
  ☆51Updated 3 years ago
• liqing-ustc / NGS
  Neural-Grammar-Symbolic Learning with Back-Search
  ☆53Updated 3 months ago
• 921kiyo / symbolic-rl
  Symbolic Reinforcement Learning using Inductive Logic Programming
  ☆61Updated last year
• UCLA-StarAI / Semantic-Loss
  Semantic Loss code
  ☆58Updated 5 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆48Updated 9 months ago
• thuwzy / Neural-Symbolic-and-Probabilistic-Logic-Papers
  A curated paper list on neural symbolic and probabilistic logic.
  ☆114Updated last year
• ml-research / NeSyConceptLearner
  ☆15Updated last year
• tommasocarraro / LTNtorch
  PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
  ☆90Updated last month
• celinehocquette / magicpopper
  C. Hocquette and A. Cropper, Learning programs with magic values.
  ☆18Updated 2 years ago