Differentiable probabilistic answer set programming
A collection of neuro-symbolic systems, papers and videos
Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
Official repository for CoTran: An LLM-based code translator for whole-program translation, fine-tuned using feedback from compiler and symbolic execution
Unleash the fuzz on your C codebase.
Code and data of "NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems"
A list of awesome resources related to constraint learning
headquarters of the April team in Edinburgh
An intelligent, multi-agent framework for artificial biome simulation.
A dedicated repository for learning and researching about neuro-symbolic artificial intelligence (NSAI)
An advanced tool for generating, visualizing, and evaluating domain-specific knowledge graphs and ontologies.
An experimental codebase developed to empirically investigate several phenomena predicted by the theoretical framework proposed in the associated research paper, grounded in the Free Energy Principle
AI UK Fringe Event on AI research at City, University of London
Modular framework for building self-modeling artificial agents with explicit internal state representation and meta-cognitive capabilities. Includes RL, hybrid, and dummy policies with integrated SelfModel monitoring and scientific metrics.
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.
Basic crafting implemented with STRIPS planning to showcase the NeurASP architecture.
A Python package for generating RDF knowledge graphs based on the Volcano Event Ontology VEO.
Coursework for COMSE6998 Natural Language Generation and Summarization
LLY-HDC uses hyperdimesnional computing and neurosymbolic AI to implement a high-performance AI model on quantum computers
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