A simple microservice application to track machine learning experiments
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Updated
May 8, 2019 - Python
A simple microservice application to track machine learning experiments
🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/
We provide early diagnosis of Alzheimer for those who suffer from it with Deep Learning
An ML Pipeline for Short-Term Rental Prices in NYC using Mlflow as orchestration tool and Weights&Biases as artefact storage tool.
Machine Learning MLOps Engineer course exercise.
Automated model scoring and monitoring
End to end example of Metaflow and Prefect pipelines (Python)
Experimentation with different MLOps frameworks
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Main python package for deploying and managing machine learning models in production
Workspace_Labs - ML Ops Inspired Lite Web Application
Fashion recommendation app using deep learning and streamlit. Applied some MLOps concept to deploy large ml project online.
Zokyo is a MLOps friendly image augmentation library written in python built with modularity and extensibility in mind. Specifically crafted for automotive deep learning development.
A simple RESTful service that accepts a Dockerfile from the user. The service builds a Docker image out of the Dockerfile and pushes it to a Docker registry.
Simple dvc demo with end to end implementation using github action & CI-CD pipeline
simple MLOPs demo with kedro..
Custom versioning of Machine Learning models
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