dmatrix / mlflow-workshop-part-1
Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.
β236Updated 4 years ago
Alternatives and similar repositories for mlflow-workshop-part-1:
Users that are interested in mlflow-workshop-part-1 are comparing it to the libraries listed below
- Example repo to kickstart integration with mlflow pipelines.β76Updated 2 years ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β145Updated 11 months ago
- [DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python templateβ111Updated 2 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"β134Updated last year
- Basic and advanced MLflow examples for many ML flavorsβ220Updated 8 months ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β180Updated 8 months ago
- An example MLFlow projectβ48Updated 2 months ago
- Capturing model drift and handling its response - Example webinarβ107Updated 5 years ago
- Reference code base for ML Engineering, Manning Publicationsβ126Updated 3 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four pβ¦β38Updated 3 years ago
- An example MLflow projectβ252Updated 10 months ago
- This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channelβ189Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packtβ159Updated last year
- A short workshop on datascience pipelines using mlflow and airflowβ53Updated last year
- β41Updated 4 years ago
- Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOpsβ60Updated 3 years ago
- Engineering MLOps, published by Packtβ182Updated 2 years ago
- Machine Learning Engineering with MLflow, published by Packtβ115Updated 8 months ago
- O'Reilly Katacodaβ56Updated 2 years ago
- MLFlow Spark Summit 2019 Presentationβ67Updated 5 years ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshopβ¦β142Updated 7 months ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.β52Updated 2 years ago
- β13Updated 3 years ago
- This repository contains code to learn AI and ML on Google Cloud Platformβ101Updated 4 years ago
- Code samples for the Effective Data Science Infrastructure bookβ115Updated last year
- β43Updated 2 years ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to sβ¦β182Updated 3 years ago
- Example machine learning pipeline with MLflow and Hydraβ88Updated last year
- Template repository for data science lifecycle projectβ190Updated 4 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four pβ¦β34Updated 4 years ago