data-version-control

Dolt – Git for Data

🦉 Data Version Control | Git for Data & Models | ML Experiments Management

AI Vector Database for LLMs/LangChain. Doubles as a Data Lake for Deep Learning. Store, query, version, & visualize any data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

lakeFS - Data version control for your data lake | Git for data

Quilt is a data mesh for connecting people with actionable data

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

Meta data server & client tools for game development

Data version control for reproducible analysis pipelines in R with {targets}.

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

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

Git-like data versioning.

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

SageMaker Experiments and DVC

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

An abstraction layer for data storage systems

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

Metadata management in Go

A CKAN extension for data versioning.

Lesson 2 tutorial: Versioning Data and Model for the ML REPA School course: Machine Learning experiments reproducibility and engineering with DVC

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