#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 🌿🌱🐋🌍
🧠🔗 Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices
#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
#计算机科学#Holographic Reduced Representations
NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment
#大语言模型#ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning
#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