kaislar / ds_templateLinks
β37Updated 3 years ago
Alternatives and similar repositories for ds_template
Users that are interested in ds_template are comparing it to the libraries listed below
Sorting:
- An end-to-end project on customer segmentationβ83Updated 2 years ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β149Updated last year
- Example machine learning pipeline with MLflow and Hydraβ94Updated 2 years ago
- Basic and advanced MLflow examples for many ML flavorsβ234Updated last year
- Tutorials on creating a reproducible and maintainable data science projectβ148Updated 3 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β183Updated last year
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases witβ¦β49Updated 3 years ago
- Example repo to kickstart integration with mlflow pipelines.β77Updated 2 years ago
- Demo for CI/CD in a machine learning projectβ112Updated 2 years ago
- Streamline scikit-learn model comparison.β143Updated 2 years ago
- Template repository for data science lifecycle projectβ197Updated 5 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"β136Updated last year
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β263Updated 3 years ago
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sellβ77Updated 3 years ago
- β Eurybia monitors model drift over time and securizes model deployment with data validationβ214Updated 11 months ago
- MLOps maturity assessmentβ61Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packtβ162Updated last month
- Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.coβ¦β181Updated 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¦