Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

A project to kickstart your ML development

🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/

An end-to-end MLOps pipeline(CI/CD/CT/CM) project for training, versioning, deploying, and monitoring machine learning models using FastAPI, Kubernetes, MLflow, DVC, Prometheus, and Grafana.

A starter template for machine learning projects as a tutorial base

Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq

Here are some common use cases and experiments based on tutorials found at Machine Learning Mastery for the libmlops library.

ETL Pipeline best practices implemented in this repository. Also check out the experiments tab on Dagshub

MLOps talks - joint effort with Amsterdam MLOps.community

A FastAPI service that predicts restaurant tips using a machine learning model. Deployed on AWS EC2 with Docker and CI/CD via GitHub Actions.

This repository offers a practical template for extensive machine learning operations (MLOps) using Azure Machine Learning (AML), with a focus on classification problems. Enjoy learning and best of luck! 🚀

MLOps Model Management for Azure Machine Learning with Github CI/CD 🛠️

Purpose of this project is to provide a template to setting up an MLOps stack on GCP using mostly open source available tools.

My learning about MLOps

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.