MLOps.community
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MLOps.community

The MLOps Community’s Engineering Labs

A collaborative place for solving ML Engineering challenges

Premises

…What another way to support people…?

…For a person who joins the community, how can I turn this knowledge in something can help him/her solving most common ModelOps challenges in a concrete way?

Figure 1. Engineering Labs logo
  1. The Initiative and its guiding principles
  2. The Engineering Lab’s journey
    Step 1: Fill the form
    Step 2: Join the team
    Step 3: Solve the challenge in 6 weeks
    Step 4: Merge your project and provide feedback
    Step 5: Coffee session
    Step 6: Medium Article and the Final Technical Discussion
  3. The 1st Engineering Lab: PyTorch meets MLflow
    Content
    Teams
    The 1st Journey and its Results
  4. How you can join us
  5. Summary

The Initiative and its guiding principles

The Engineering Lab’s journey

Figure 2. Engineering Lab’s journey. Notice it would change.

Step 1: Fill the form

Step 2: Join the team

Step 3: Solve the challenge in 6 weeks

Step 4: Merge your project and provide feedback

Step 5: Coffee session

Step 6: Medium Article and the Final Technical Discussion

Is it too much? Will I able to go thought it?

Two out of four teams who joined the 1st lab did it.

The 1st Engineering Lab: PyTorch meets MLflow

Figure 3. MLOps workflow for PyTorch models using MLflow

Content

Teams

  • Team 1 : Michel Vasconcelos, Alexey Naiden, Varuna Jayasiri, John Savage
  • Team 2 : Itirell, Mark Peters, Carlos Leyson, Semendiak
  • Team 3 : Laszlo Sragner, Artem Yushkovsky, Dimi, Paulo Maia
  • Team 4 : Shadab Hussain, Susana Brandao, Godwin Ekainu, Josh

The 1st Journey and its Results

  • 1 lab about how put in production Pytorch model with MLflow
  • 4x4 teams
  • 2 final projects
  • 1 meetup in the AI&PIE community
  • 2 insightful coffee sessions
  • (coming) 2 medium articles and 1 final tech talk

How you can join us

  1. Join the slack channel: https://go.mlops.community/slack
  2. Join the #engineeringlabs channel
  3. Candidate yourself for the next lab with this form
  4. Feel free to reach me out both in the community (@ilnardo92) and on Linkedin for clarifications

Summary

Figure 4. Uncle Sam.

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Ivan Nardini

Customer Engineer at @GoogleCloud who is passionate with Machine Learning Engineering. The Lead of MLOps.community’s Engineering Lab.