Here are
21 public repositories
matching this topic...
🦉 Data Version Control | Git for Data & Models | ML Experiments Management
Updated
Aug 27, 2022
Python
Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it.
https://activeloop.ai
Updated
Aug 27, 2022
Python
Git-like capabilities for your object storage
Quilt is a self-organizing data hub for S3
Updated
Aug 27, 2022
Jupyter Notebook
sgr (command line client for Splitgraph) and the splitgraph Python library
Updated
Aug 17, 2022
Python
Meta data server & client tools for game development
Data version control for reproducible analysis pipelines in R with {targets}.
Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
Updated
Aug 26, 2022
Python
Git-like data versioning.
Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.
Updated
May 14, 2022
Python
SageMaker Experiments and DVC
Updated
Aug 22, 2022
Jupyter Notebook
Updated
Mar 9, 2021
Python
A JSON-based format for working with machine learning data, with a focus on data interoperability.
A CKAN extension for data versioning. Specifically dataset and resource versions.
Updated
Jul 6, 2022
Python
An abstraction layer for data storage systems
Updated
Jun 21, 2022
Python
Metadata management in Go
Lesson 2 tutorial: Versioning Data and Model for the ML REPA School course: Machine Learning experiments reproducibility and engineering with DVC
Updated
Mar 15, 2021
Jupyter Notebook
Deploying a Machine Learning Model on Heroku with FastAPI using CI/CD tools as GitHub Actions and Heroku Automatic Deployment.
Updated
Jul 28, 2021
Jupyter Notebook
practice about data_version_control(DVC)
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