This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
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This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
The Seven Deadly Sins: Origin Trainer — Advanced AI / LLM training framework with 7 sinful training paradigms, Origin Mode, LoRA fine-tuning, and real-time Sin Meter.
The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.
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latest branch in Artificial Intelligence AI software
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A modular, self-contained file format for executable AI prompts, logic, and data.
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Foundational invariants and verification surfaces for Riverbraid.
Open working notes on distributed, modular AI architectures – exploring how many small, specialized models on existing hardware could complement (rather than replace) large LLMs for more sustainable, real‑world systems.
The identity anchor and sovereign GPG verification petal for the Riverbraid organization.
Meaning scoped persistence and state retention rules for Riverbraid.
Cryptographic integrity layer for Riverbraid seals, hashes, and signatures.
Riverbraid v1.5.0 | Resonant Intelligence Architecture
Governed vision input and perception contract surface for Riverbraid.
A modular, robust fork of LangChain for direct-computational interfaces.
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