edublancas / ml-testingLinks
🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
☆82Updated 3 years ago
Alternatives and similar repositories for ml-testing
Users that are interested in ml-testing are comparing it to the libraries listed below
Sorting:
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 4 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- A repository that showcases how you can use ZenML with Git☆73Updated 5 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- Super Simple Similarities Service☆155Updated 9 months ago
- Metadata store for Production ML☆88Updated 3 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆97Updated 3 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 3 years ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Updated 2 years ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated 3 months ago
- Data Analysis Baseline Library☆133Updated last year
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 4 years ago
- Streamline scikit-learn model comparison.☆143Updated 3 years ago
- Dvc + Streamlit = ❤️☆40Updated 2 years ago
- SPEAR: Programmatically label and build training data quickly.☆109Updated last year
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Python ML pipeline that showcases mltrace functionality.☆28Updated 4 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago
- Repository for my master thesis on automated string handling☆16Updated 4 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆91Updated 3 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 6 months ago