Popular GitHub Repositories for Mobility 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.

A data standard to enable right-of-way regulation, digital policy, geofencing, and two-way communication between mobility companies and public agencies worldwide.

Exploiting Bitcoin prices patterns with Deep Learning.

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

? Перевод книги Антонио Гулли - Agentic Design Patterns: Практическое руководство по созданию интеллектуальных систем

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

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

Transform geospatial relations into graph representations designed for spatial analysis and Graph Neural Networks (GNNs).

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.

A professional list of Deep Learning and Large (Language) Models (LM, LLM, FM) for Trajectory Data Management and Mining.

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

?️ Blueprint-driven Claude Code autopilot. Smart preparation over endless iterations - AI analyzes patterns, creates solid implementation plans, delivers working code in 15 minutes.

:star: Java code samples. for example, java core, spring ecosystem, database and persistence layer framework, microservices, software testing, reactive programming, design patterns, shell, docker, etc..

FFmpeg bindings for Node.js. Features both low-level and high-level APIs, full hardware acceleration, TypeScript support, and modern async patterns

sigmaker is a zero-dependency IDA Pro 9.0+ cross-platform signature maker plugin with optional SIMD (e.g. AVX2/NEON/SSE2) speedups that works on MacOS/Linux/Windows. It allows configurable wildcard operand patterns, nibbles, and signature generation just by right clicking.

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

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