data-versioning

Collecting thoughts about data versioning

Deprecated. See https://github.com/datopian/ckanext-versions. ⏰ CKAN extension providing data versioning (metadata and files) based on git and github.

Deploying a Machine Learning Model on Heroku with FastAPI using CI/CD tools as GitHub Actions and Heroku Automatic Deployment.

Learning data and model versioning with ClearML while cleaning and modeling happiness by country with a Kaggle dataset

DVC + MLflow for data monitoring and ML lifecycle management

A JSON-based format for working with machine learning data, with a focus on data interoperability.

Demonstration project for Data Version Control (DVC) for managing datasets and ML experiments

Metadata store for Production ML

Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.

Project with tabular data versioned with Artifacts.

A curated list to help you manage temporal data across many modalities 🚀.

Kedro-Dolt Hook Plugin

Repository for evaluating the different approaches to data versioning

Articles, tutorials, and tools about creating scalable and sustainable ML/DL systems.

following best practices to productionize an ML project

The provided demo project demonstrates the practical implementation and advantages of using DVC. It showcases how DVC simplifies data versioning and model versioning while working in tandem with Git to create a cohesive version control system tailored for data science projects.

Git-like data versioning.

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

Testing and implementations with ClearML

A demonstration of how DVC and MLFlow can be used in the task of data relabeling