neuro-symbolic-ai

#计算机科学#The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected

Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍

🧠🔗 From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

#计算机科学#A `Neural = Symbolic` framework for sound and complete weighted real-value logic

#区块链#OriginTrail Decentralized Knowledge Graph network node

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classif...

#计算机科学#Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games

#大语言模型#ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning

#计算机科学#Holographic Reduced Representations

NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment

#计算机科学#Demo for Neuro-Symbolic Agent (LOA)

Normalizing flows for neuro-symbolic AI

Official codebase for the "A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts" benchmark paper.

Sem@K: Is my knowledge graph embedding model semantic-aware?

official repo for the NeurIPS 2022 paper "A Solver-Free Framework for Scalable Learning in Neural ILP Architectures"

Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.

A neural network model builder, leveraging a neuro-symbolic interface.

Neuro-symbolic anomaly detection and complex fault diagnosis exemplified in the automotive domain.

#计算机科学#PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization