Version Control for Models

Version Control Your ML Model Deployment With Git using Modelbit

Towards Data Science

Develop, deploy, and track! Photo by Yancy Min on Unsplash Introduction Version control is critical to all development processes, allowing developers to track software changes (code, configurations, ...

Version Controlling in Practice: Data, ML Model, and Code

Towards Data Science

Version control is a crucial practice! Without it, your project may become disorganized, making it challenging to roll back to any desired point. You risk losing critical model configurations, weights...

What is version control

Atlassian Git Tutorial

Version control, also known as source control, is the practice of tracking and managing changes to software code. Version control systems are software tools that help software teams manage changes to ...

Model Rollbacks Through Versioning

Towards Data Science

The Walmart Rollback isn’t the only kind that can save you money Using Model Rollbacks Is Fun! There’s general consensus in the Machine Learning community that models can and have made biased decisio...

How to Version Control your Machine Learning task — I

Towards Data Science

A component of software configuration management, version control, also known as revision control or source control,[1] is the management of changes to documents, computer programs, large web sites…

Securing GenAI: Vol 5 — Model deployment and change management

Towards AI

Securing GenAI: Vol 5 — Model Deployment and Change Management Written by Manu Chatterjee, Head of AI at Leapfrog Technology Deploying AI models securely requires strict version control, monitoring, ...

A Quick Primer to Version Control Using Git

Towards Data Science

Version control is a type of system that allows you to keep track of changes made to your code over time. As such, version control is useful because: As coding is an integral aspect of data science…

Introduction to Data Version Control

Towards Data Science

What is Data Version Control (DVC)? Any production-level system requires some kind of versioning. A single source of current truth. Any resources that are continuously updated, especially simultaneous...

Data and Machine Learning Model Versioning with DVC

Towards Data Science

DVC: It’s a Git, but for Our Data and ML Model Continue reading on Towards Data Science

The way you version control your ML projects is wrong

Towards Data Science

How can you version the slightest change you make inside your project, automatically, without even thinking about it.

Getting Started With Version Control

Level Up Coding

Version Control is an absolutely critical component to developing that every coder should be familiar with. Version Control is a logging system which records the history of your code so that the…

The DVC Guide: Data Version Control For All Your Data Science Projects

Towards Data Science

As data scientists, we experiment with different versions of code, models, and data. Additionally, we even use version control system like Git to manage our code, track versions, move forward and…