mbunse / mlcomopsLinks
☆17Updated 3 years ago
Alternatives and similar repositories for mlcomops
Users that are interested in mlcomops are comparing it to the libraries listed below
Sorting:
- Template repo for kickstarting recipes for regression use case☆55Updated last year
- MLOps maturity assessment☆62Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆476Updated 8 months ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆256Updated last year
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆152Updated last year
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆92Updated last year
- End to End example integrating MLFlow and Seldon Core☆51Updated 5 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆241Updated 2 years ago
- Basic and advanced MLflow examples for many ML flavors☆242Updated last year
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆874Updated 2 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆185Updated last year
- This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.☆422Updated last year
- 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 …☆241Updated 5 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆49Updated 4 years ago
- ☆37Updated 3 years ago
- Tutorials on creating a reproducible and maintainable data science project☆149Updated 3 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆91Updated 3 years ago
- A simple guide to MLOps through ZenML and its various integrations.☆188Updated 2 years ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆400Updated last year
- The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process …☆523Updated 4 years ago
- Streamline scikit-learn model comparison.☆142Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆163Updated last month
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆215Updated 2 months ago
- Software Architecture for ML engineers☆416Updated 3 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆234Updated last year
- Get started DVC project (NLP, random forest)☆190Updated last year
- A Collection of GitHub Actions That Facilitate MLOps☆206Updated 3 years ago