mlops-environment
There are 28 repositories under mlops-environment topic.
MLReef/mlreef
The collaboration workspace for Machine Learning
Azure/mlops-v2
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
mlops-guide/mlops-guide.github.io
🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
Azure/mlops-templates
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Azure/mlops-project-template
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
mlops-guide/dvc-gitactions
Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper
mlops-guide/mlops-template
🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/
ashishpatel26/MLOps-Engineering-in-Action
Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
getindata/jupyter-images
Receipes of publicly-available Jupyter images
datadrivers/effective-guide-mlops
Example end-to-end ml pipeline build with the Sagemaker Python SDK
Vedant-S/MLOps-Contiguous-Accuracy-Attainer
Project Includes python script (which runs in an MLOps environment) with the task of auto training Models until a desired accuracy is achieved.
kaushikrohit004/MLOps-AWS-S3
This repository demonstrates how to set up automated model training workflows triggered by AWS S3 using Kestra. When new customer interaction data is added to S3, the system retrains recommendation models to enhance personalization. Configuring environment variables with GitHub and AWS credentials.
ml-starter-packs/microservice-workshop
interactive coding environment for microservices demo
coolmunzi/webapp_mlops
This is a simple webapp for wine quality prediction and involves MLOPs including DVC for model and data tracking and Github actions for CI-Cd workflows. The app is deployed on Heroku.
Hokfu/MLOps_Zoomcamp_Study
This is the repository of my study in MLOps Zoomcamp from DataTalksClub.
JBris/machine-learning-r
Some examples of running R in a Docker container with machine learning and MLOps features
0Upjh80d/mlops-project-template
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
0Upjh80d/mlops-templates
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
0Upjh80d/mlops-v2
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Biolytics-AI/k8s-ml-dev-env
Want to develop ML using vscode remote dev on a powerful GPU cluster running k8s? Then this repo is for you!
coretex-ai/coretex-vscode-extension
Coretex extension for VS Code, facilitating easier dev workflow by automating MLOps directly in your favorite IDE.
JorgeDSprojects/MLFLOW-Streamlit
Small test to see how MLFLOW relates to experiment tracking with Streamlit
kieran-ohara/vscode-gpus
🦾 Accelerate ML Training and Experimentation in VSCode
ovokpus/MLOps-Learn
Documents Participation in the MLOps ZoomCamp by Datatalks Club, showcasing various MLOps practices: Experiment Tracking, Orchestration, Deployment, Monitoring, and Best Practices.
samthakur587/yolov7
This project aims to train the YOLOv7 object detection model on a custom dataset comprising diverse aquarium images containing fish and aquatic creatures.
AjNavneet/Gaussian-TimeSeries-MLOps-AWS-Deployment
Gaussian Time Series model and MLOps pipeline using the AWS to deploy the model in a production environment.