Structured Outputs

Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures

PYthon Automated Term Extraction

Neuro-symbolic interpretation learning (mostly just language-learning, for now)

Query language for blending SQL and LLMs 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

Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".

Meta Optimization Semantic Evolutionary Search

Navigate the dungeon, avoid the pits, find the gold, beware of the wumpus. Artificial intelligence based AI game.

Project Janus | Prompt-Based Symbolic OS

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

AGI runtime for bounded recursive self-awareness. Attempting machine consciousness at the Gödel–Turing–Hofstadter Nexus.

Economic Attention Network

KLEP (Key-Lock-Executable-Process) is a groundbreaking AI framework that utilizes symbolic AI for dynamic decision-making. It integrates keys, locks, executables, and processes to foster ethical, modular, and transparent AI applications, offering a novel approach for developers and researchers in AI and cognitive science.

Protocol, engine, and API wrapper for LLM's