PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

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

Self's foundational abstractions

Demo for Neuro-Symbolic Agent (LOA)

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

mOWL: Machine Learning library with Ontologies

Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)

Holographic Reduced Representations

An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.

Codebase for Neuro-Symbolic Continual Learning.

A neuro-symbolic reasoner for the EL++ description logic.

Implementation of the paper: " Experimenting an Approach to Neuro-Symbolic RL"

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning

Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"

[ACL 2024] The project of Symbol-LLM

EmbedPVP: Embedding-based Phenotype Variant Predictor

program synthesis with neuro-symbolic differentiable interpreters

Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations

Research code for heuristically hiding information for inference run on 3rd party systems (ICML 22)

Reproduce. Replicate. Reevaluate. The long but safe way to extend machine learning methods.