dmatrix / mlflow-workshop-part-1Links
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.
☆241Updated 5 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
Sorting:
- Reference code base for ML Engineering, Manning Publications☆131Updated 4 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- Engineering MLOps, published by Packt☆188Updated last month
- This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.☆419Updated 9 months ago
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 2 years ago
- Basic and advanced MLflow examples for many ML flavors☆238Updated last year
- Machine Learning Engineering with MLflow, published by Packt☆117Updated last month
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Machine Learning Engineering with Python☆185Updated last month
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Template repository for data science lifecycle project☆198Updated 5 years ago
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated 2 years ago
- This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel☆189Updated 4 years ago
- An example MLFlow project☆49Updated 9 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- [DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template☆114Updated 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 s…☆184Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last month
- ☆27Updated 3 years ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…☆142Updated last year
- An example MLflow project☆276Updated last year
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Example machine learning pipeline with MLflow and Hydra☆94Updated 2 years ago
- MLOps maturity assessment☆61Updated 2 years ago
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- ☆81Updated 2 years ago
- This repository contains code to learn AI and ML on Google Cloud Platform☆102Updated 4 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 3 years ago
- [Book-2021] Practical MLOps O'Reilly Book☆881Updated 9 months ago
- MLOps tutorial using Python, Docker and Kubernetes.☆403Updated last year