wp21-train 0.2.0

Framework that provides tools allowing for monitoring training of ML models with the aim to be executed in firmware developed under the ATLAS NextGen WP21 project

trainining_framework

This is the WP2.1 training framework (WP21_Train) developed by the NextGen ATLAS community. The package aims to provide a common framework so that ML model developers can interface with known tools and extract meta-data in a common serialised format in order to derive correlations. At the minute a limited amount of features are supported, however based on the needs of the community the features are being expanded and enhanced. The final goal for the package is to be distributed and installable via pip install.

Getting started

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Add your files

• Create or upload files
• Add files using the command line or push an existing Git repository with the following command:

cd existing_repo
git remote add origin https://gitlab.cern.ch/atlas-nextgen-wp21/trainining_framework.git
git branch -M master
git push -uf origin master

Integrate with your tools

• Set up project integrations

Collaborate with your team

• Invite team members and collaborators
• Create a new merge request
• Automatically close issues from merge requests
• Enable merge request approvals
• Set auto-merge

Test and Deploy

Use the built-in continuous integration in GitLab.

• Get started with GitLab CI/CD
• Analyze your code for known vulnerabilities with Static Application Security Testing (SAST)
• Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy
• Use pull-based deployments for improved Kubernetes management
• Set up protected environments

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Editing this README

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