Popular GitHub Repositories for Architectural Patterns

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

Build effective agents using Model Context Protocol and simple workflow patterns

An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to develop, integrate, and test AI features with observability and evaluations. Genkit works with various models and platforms.

RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.

Professional slash commands for Claude Code that provide structured workflows for software development tasks including code review, feature creation, security auditing, and architectural analysis.

Exploiting Bitcoin prices patterns with Deep Learning.

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

A community-driven knowledge base of practical patterns for Effect-TS.

A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.

Repository demonstrating best practices and patterns for implementing agentic workflows in Python, featuring modular, scalable, and reusable design patterns for intelligent automation.

Foremast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

Transform your simple scribbles into architectural designs using style transfer with Stable Diffusion, LCM, IP Adapters and ControlNet. Scribble Architect combines creativity with generative AI technology, improving the inspiration process.

Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.

Professional-grade background patterns and gradients for your websites and apps. Easily copy and paste into your next project. Crafted with modern CSS and Tailwind for seamless integration.

Commanding robots using only Language Models' prompts

Application that generates musical compositions from algorithmically generated patterns, based on work by Duncan Lockerby.

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.