Open source platform for the machine learning lifecycle
I think this might be useful to let small-mid-sized DS teams to better utilize their computing resources (e.g., if you have multiple GPU workstations and rely on assigning each one to people to SSH onto, this might be for you) by pooling them and providing a service like Jupyterhub on-top to provide a unified entry point to conduct their work using notebooks. Addons like MLFlow and Kubeflow can be added with single-click as well once the platform is up.
Keeping Your Machine Learning Models on the Right Track: Getting Started with MLflow, Part 2
2 projects | dev.to | 21 Jul 2022
mlflow: Open source platform for the machine learning lifecycle
1 project | reddit.com/r/u_TsukiZombina | 16 May 2022
MLOps with MLflow on Kraken CI
2 projects | dev.to | 29 Apr 2022
Machine Learning adventures with MLFlow - Deploying models from local system to Production
1 project | reddit.com/r/learnmachinelearning | 22 Dec 2021
How to store preprocessing and feature engineering pipeline?
1 project | reddit.com/r/datascience | 21 Oct 2021