Differentiable probabilistic answer set programming

Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"

A collection of neuro-symbolic systems, papers and videos

Graph Learning for Planning [AAAI-24, ICAPS-24, NeurIPS-24]

Code and data of "NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems"

headquarters of the April team in Edinburgh

Official repository for CoTran: An LLM-based code translator for whole-program translation, fine-tuned using feedback from compiler and symbolic execution

A list of awesome resources related to constraint learning

A dedicated repository for learning and researching about neuro-symbolic artificial intelligence (NSAI)

LLY-HDC uses hyperdimesnional computing and neurosymbolic AI to implement a high-performance AI model on quantum computers

Propositional logic proof writer for deterministc/stochastic expressions using Neo4J graph database & machine learning system optimization

AI UK Fringe Event on AI research at City, University of London

Using Anthropic's Claude 3 Opus to solve SAT problems with symbolic tool use.

Coursework for COMSE6998 Natural Language Generation and Summarization

A Python package for generating RDF knowledge graphs based on the Volcano Event Ontology VEO.

Enhancing reasoning capabilities of LLMs by fine-tuning based algorithm using Symbolic AI feedback component

The repository is to document neurosymbolic AI architectures

Personal website of Ernesto Jiménez-Ruiz, Lecturer in AI at City, University of London

Endless conversations between GPT and Google Gemini with possible human interaction

ANSR-DT: An open-source Adaptive Neuro-Symbolic framework for real-time learning and reasoning in Digital Twins. Combines CNN-LSTM, reinforcement learning, and symbolic reasoning for interpretable, adaptive decision-making.