PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).

PyTorch Lightning based TP-N2F model.

Neurosymbolic Algorithms for Machine Programming and Reasoning

A survey investigating the concept space prior in Vision and Language models

PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)

Experiment code for dissertation report "Improving Classification using Neuro-Symbolic Algorithms"

[TPAMI] "Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search", Wenqing Zheng*, S P Sharan*, Zhiwen Fan, Kevin Wang, Yihan Xi, Atlas Wang

A Scalable Approximate Method for Probabilistic Neurosymbolic Inference

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

Experimental Python implementation of the Clarion cognitive architecture

Source code for the neuro-fuzzy network of the paper: "Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification"

Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming

A curated paper list on neural symbolic and probabilistic logic.

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

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

The official implementation of an Insect-Inspired Randomly Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning (NeSy20/21@IJCLR)

Human-AI Pair Programming / Neurosymbolic Language / IDE / OS

Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms

Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts