{"repo":"Okerew/larkos","free":true,"listed":false,"github":"https://github.com/Okerew/larkos","clone":"git clone https://github.com/Okerew/larkos.git","description":"This repository shows an alternative neural network structure to modern ones, inspiring from the brain and it's creativity, workings.","language":"C","stars":15,"topics":["alternative","architecture","biology","c","cpu","cuda","gpu","innovative","kernel","machine-learning"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"Larkos Documentation Table of Contents 1. Introduction 2. Key Components 3. Key Functions 4. An idea of a neural web 5. Neural Web training mechanism Introduction This documentation provides a comprehensive guide to the Lattice-Associated Recursive Knowledge Organization System (or decentralized neural web architecture) implemented in the provided code. The architecture is designed to simulate a neural network with hierarchical memory management, dynamic adaptation, and performance optimization along with other features. The goal of this architecture is to present an alternative to modern neural models, which are often complex and resource-intensive, taking inspiration from our brains, neurons are decentralized organized in layers, allowing them to interact with themselves and change themselves overtime in more than just sates and weights, while also creating a dynamic memory system. You can see the architecture better here Video explanations: First part Second part Requirements: gnuplot library json-c library for metal macos version metal api for cuda version cuda and pybind11 golang(for converter and train embeddings) python(for running cuda version and for running libary file through ctypes) docker(optional) If on windows use wsl i have removed the windows version as I don't think it was ever correctly working either way. Larkos 0.3 Introducing Larkos 0.3 a self-learning model with a state-based fusion mechanism, transformers that guide the model, based on the larkos archi","default_branch":null,"files":null,"tree":[],"storefront":"/r/Okerew","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Okerew/larkos/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}