davified / docker-python-template
β24Updated 3 months ago
Related projects: β
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"β134Updated 7 months ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β141Updated 5 months ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β172Updated 2 months ago
- Basic and advanced MLflow examples for many ML flavorsβ212Updated 2 months ago
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β247Updated 2 years ago
- Production Data Science: a workflow for collaborative data science aimed at productionβ453Updated 4 years ago
- Tutorial given at PyData LA 2018β97Updated last month
- β83Updated this week
- 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 β¦β233Updated 4 years ago
- β199Updated 3 months ago
- Alternate cross validation approach for ALS models with implicit ratings utilizing an expected percent ranking metric for model performanβ¦β24Updated 6 years ago
- Machine Learning begins with Human Learningβ108Updated 3 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OHβ151Updated 3 years ago
- β155Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure bookβ106Updated last year
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.β223Updated 7 months ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β206Updated 2 years ago
- β117Updated this week
- Code and files to go along with CS329s machine learning model deployment tutorial.β595Updated last year
- Joining the modern data stack with the modern ML stackβ188Updated last year
- Clean Code concepts adapted for machine learning and data science. Now a free video series π https://bit.ly/2yGDyqTβ709Updated 2 years ago
- 100 exercises to learn Python Datatableβ268Updated 2 years ago
- Software Architecture for ML engineersβ382Updated 2 years ago
- β38Updated 2 years ago
- Pytest for Data Science Beginnersβ57Updated 5 years ago
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and producβ¦β125Updated 3 years ago
- Fundamentals of Machine Learning Course at DSRβ25Updated 4 years ago
- β86Updated 5 years ago
- β10Updated 3 years ago
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β540Updated last year