Popular GitHub Repositories for Iac Bicep

Artificial Intelligence Infrastructure-as-Code Generator.

Ansible Collection to manage OPNSense firewalls using their API

一个用于通过 OPNSense API 管理 OPNSense 防火墙的 Ansible 集合

Generative AI tool for evaluating Infrastructure as Code and architecture diagrams against AWS Well-Architected best practices.

?⓿ KubeZero (also, Kube0 and K0) is a production-ready zero-friction Platform Orchestrator with GitOps designed for multi-environment Cloud Native setup.

Python 开发者轻松上手 AWS

AIOps modules is a collection of reusable Infrastructure as Code (IaC) modules for Machine Learning (ML), Foundation Models (FM), Large Language Models (LLM) and GenAI development and operations on AWS

Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK

Terraform-based Infrastructure as Code (IaC) for deploying complete AWS backend services, integrated with Google's free-tier Gemini Pro and Gemini Embedding models for AI powered document querying including Remote Streamable HTTP based Web Search MCP Server,streamlit UI..

Terraform module to deploy a private ChatBot/ChatGPT-like solution (LibreChat) hosted on Azure OpenAI

Quickstart template as a fork on TDSP (https://github.com/Azure/Azure-TDSP-ProjectTemplate), extending the template with a suggested structure for operationalization using Azure. Includes ARM templates as IaC for resource deployment, template build and release pipelines to enable model CI/CD, template code for working with Azure ML.

Submit your prompts to the Azure Deployments team for AI or Copilot to help prioritize and improve your infrastructure-as-code (IaC) experiences.

Samples using AWS Terraform modules to accelerate your Infrastructure-as-Code deployments for generative AI workloads.

End-to-end Data Project (DA/DS/DE/MLOps) - retail/e-commerce - interpretable dynamic clustering

A CLI tool to perform syntactic and semantic validation of YAML files.

MCP for Ansible, Terraform, LocalStack, and other IaC tools. Create and iterate IaC in LocalStack until ready to deploy live.

This repository provides a deployable solution using Infrastructure-as-Code (IaC) templates to help you set up a serverless image augmentation pipeline to generate additional training data from existing images for machine learning use-cases.

DataSage is an AI-powered question-answering system for tabular (SQL) data, leveraging Azure AI Foundry, LangGraph, Azure SQL DB, and Streamlit. It enables users to query databases using natural language and retrieve intelligent, context-aware responses. Deployment is supported via Python and Bicep for seamless Azure resource provisioning.

Sandbox for showing off Copilot with IaC

POC Flask app for Machine Learning model consumption. Infrastructure development and deploy automation on GCP made by using containers, GitHub Actions, and Google Cloud SDK.