Structured Outputs
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Updated
Mar 26, 2026 - Python
Structured Outputs
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
Neuro-symbolic interpretation learning (mostly just language-learning, for now)
Query language for blending SQL and local language models across structured + unstructured data, with type constraints.
Handwritten Equations Decipherment with Abductive Learning
An expert system using logic-based artificial intelligence and symbolic AI.
A simple Lisp written in Go
Kaleidoscope is an experimental cognitive architecture for emergent intelligence. It uses an E8 lattice physics engine and an RL-steered LLM to autonomously generate novel theories about complex systems. Features a visualization hub of its internal thought-space.
A JavaScript implementation of Douglas Hofstadter and Melanie Mitchell's Copycat program.
Expert system with deductive querying and verification of constraints expressed in natural language
Open Symbolic AI Core Repository
Meta Optimization Semantic Evolutionary Search
Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
Navigate the dungeon, avoid the pits, find the gold, beware of the wumpus. Artificial intelligence based AI game.
AGI runtime for bounded recursive self-awareness. Attempting machine consciousness at the Gödel–Turing–Hofstadter Nexus.
Project Janus | Prompt-Based Symbolic OS
A dedicated repository for learning and researching about neuro-symbolic artificial intelligence (NSAI)
Economic Attention Network
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