Skip to content

varshavshetty/kinderneutron-DlModelLc

 
 

Repository files navigation

Deep Learning Model Lifecycle Management

Overview

The Deep Learning Model Lifecycle Management repository is a comprehensive toolkit designed to facilitate the end-to-end management of deep learning models within a structured software development lifecycle (SDLC) framework. This repository provides tools, scripts, and guidelines to streamline the development, testing, deployment, and maintenance of deep learning models, ensuring consistency, reliability, and scalability throughout their lifecycle.

Prerequirties

This REPO Comes With PreRequirties Package.Click Here to See the Steps for Pre-Requirties Setup

To-Do

  1. Clone This Repo

  2. Create a Folder for Dl Model and Save Contents there

    Update This Readme If you Feel Like👍🏻

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 65.9%
  • Dockerfile 10.7%
  • Shell 8.0%
  • Batchfile 7.9%
  • PowerShell 7.5%