Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code soluti…

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Siamese and triplet networks with online pair/triplet mining in PyTorch

A workshop on Linux containers: Rebuild Docker from Scratch

Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass

MLOps using Azure ML Services and Azure DevOps

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Resources and details for a variety of NetDevOps Demos.

Amazon SageMaker Solution for explaining credit decisions.

MLOps example using Amazon SageMaker Pipeline and GitHub Actions

This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection

Model management example using Polyaxon, Argo and Seldon

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