🦉 Data Versioning and ML Experiments

sgr (command line client for Splitgraph) and the splitgraph Python library

Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.

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

A CKAN extension for data versioning.

Python Data as Code core implementation

create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools

A machine learning pipeline taking you from raw data to fully trained machine learning model - from data to model (d2m).

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

Data version control with Makefile and DVC for a regression task to estimate insurance costs for certain individuals.

An abstraction layer for data storage systems

Declaratively create, transform, manage and version ML datasets.

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.

Personal project aimed at developing a ML service which resembles a production environment system

Stop programming common dvc stages. Configure them.

Data Version Control Pipeline assignment-6 from The School of AI EMLO-V4 course assignment https://theschoolof.ai/#programs

Data Version Control (DVC) , Hydra, Pytorch Lightning Integration MLOPS

Playground for learning DVC

Deploying a ML Model to Cloud Platform with FastAPI applying CI/CD practices