Claude skills for Synalinks OSS
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Updated
Aug 23, 2026 - Python
Claude skills for Synalinks OSS
Logic Language for LLMs 🌱🐋 Build World Models 🌍
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
✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models
PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT
An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.
mOWL: Machine Learning library with Ontologies
AIKA (Artificial Intelligence for Knowledge Acquisition) is an innovative approach to neural network design, diverging from traditional architectures that rely heavily on rigid matrix and vector operations. The AIKA Project introduces a flexible, sparse, and non-layered network representation, derived from a type hierarchy.
Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI.
PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)
Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
[ACL 2024] The project of Symbol-LLM
Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
awesome-LLM-controlled-constrained-generation
An explainable politeness styler for the Korean Language / 설명가능한 반-존대 변환기
A neuro-symbolic runtime architecture (DIR) for Responsibility-Oriented Agents (ROA). By decoupling probabilistic LLM reasoning (User Space) from deterministic execution (Kernel Space), it ensures safe, invariant-driven, and auditable AI autonomy.
Holographic Reduced Representations
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