aisingapore / ai-practitioner-handbookLinks
AI Practitioner Handbook | https://aisingapore.github.io/ai-practitioner-handbook/
β33Updated 2 years ago
Alternatives and similar repositories for ai-practitioner-handbook
Users that are interested in ai-practitioner-handbook are comparing it to the libraries listed below
Sorting:
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β151Updated last year
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β265Updated 3 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.β44Updated last week
- Get started DVC project (NLP, random forest)β189Updated last year
- Demo Computer Vision Projectβ65Updated 2 years ago
- Joining the modern data stack with the modern ML stackβ201Updated 2 years ago
- Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productioβ¦β98Updated 2 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β184Updated last year
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"β135Updated last year
- A simple guide to MLOps through ZenML and its various integrations.β188Updated last year
- a docker image of the MLflow server componentβ37Updated 2 weeks ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.β118Updated last year
- β37Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.β89Updated 3 years ago
- This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.β221Updated 3 years ago
- Basic and advanced MLflow examples for many ML flavorsβ240Updated last year
- A repository for all ZenML projects that are specific production use-cases.β289Updated 2 weeks ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β255Updated last year
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ241Updated 2 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 three β¦β241Updated 5 years ago
- Demo for CI/CD in a machine learning projectβ115Updated 2 years ago
- β18Updated last year
- End to End example integrating MLFlow and Seldon Coreβ52Updated 5 years ago
- MLOps maturity assessmentβ61Updated 2 years ago
- β17Updated 2 years ago
- A workshop with several modules to help learn Feast, an open-source feature storeβ96Updated last month
- Code samples for the Effective Data Science Infrastructure bookβ116Updated 2 years ago
- β44Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β210Updated 3 years ago
- β48Updated 2 years ago