GitHub topics: ai-architecture
ylecoyote/prometheus-docs
Prometheus is a cognitive interface powered by Mnemosyne, a neural memory system for AI that remembers, predicts, and collaborates with you.
Size: 21.5 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

tadi-karuma/neurobuddy
Conceptual proposal for a distributed AI personality system where each device hosts a unique avatar and shares semantic memory. Inspired by the vision of a collaborative, growing AI companion.
Size: 2.9 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

YI3N/AutoCheckers
Гибридная модель ИИ для автошахмат, сочетающая формальные эвристики и адаптивное поведение.
Language: C# - Size: 17.7 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 2 - Forks: 0

andredisa/AI-CodeSolver
💻 AI_CodeSolver is an intelligent assistant for developers, students, and coding enthusiasts, helping with learning, solving algorithmic problems, and debugging code.
Language: Python - Size: 23.4 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

kang-minseo-1218/U-Type-001-GPT-Structural-Command-Interface
NL interface surpassing GPT limits: emotion control, parallel commands, quantified inputs like "remove 30% emotion".
Size: 68.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

helpful-bits/ai-architect-studio
Open-source toolkit that turns feature ideas into well-scoped dev tasks for AI coding agents.
Language: TypeScript - Size: 296 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sayande01/AI-Architect-Playbook
25-day journey to master AI consulting! This repo features Jupyter notebooks covering AI architecture, ML, generative AI, cloud deployments, and MLOps to build your skills & portfolio.
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ksm26/Embedding-Models-From-Architecture-to-Implementation
Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search and RAG systems.
Language: Jupyter Notebook - Size: 2 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

cardonaarchitecture/organicflow
OrganicFlow is a cutting-edge proof-of-concept for a web-based architectural planning application that seamlessly integrates principles of Organic Design and sustainability with advanced technology.
Language: TypeScript - Size: 703 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
