Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
-
Updated
Oct 22, 2024 - Dockerfile
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
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.
Here are some common use cases and experiments based on tutorials found at Machine Learning Mastery for the libmlops library.
MLOps talks - joint effort with Amsterdam MLOps.community
Here's a common and flexible directory structure that you can use as a starting point for any MLOPS project.
Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq
My learning about MLOps
Car Price Prediction using ML Ops is a project that leverages machine learning to predict used car prices, focusing on automating the entire ML workflow with ML Ops principles for efficient data processing, model training, and deployment.
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.
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Add a description, image, and links to the mlops-template topic page so that developers can more easily learn about it.
To associate your repository with the mlops-template topic, visit your repo's landing page and select "manage topics."