An observability platform for 🧠🔗 Synalinks

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

A `Neural = Symbolic` framework for sound and complete weighted real-value logic

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 Classification"

ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning

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

Holographic Reduced Representations

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

Normalizing flows for neuro-symbolic AI

Demo for Neuro-Symbolic Agent (LOA)

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

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

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.

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