marvinsxtr/ml-project-template
Template machine learning project using wandb, hydra-zen and submitit on Slurm with Apptainer
This template helps machine learning researchers and engineers streamline their experimentation workflow on shared computing clusters. It provides a structured way to define ML experiments, run them reliably using containers on a Slurm cluster, and automatically log results for easy tracking and visualization. Researchers get a consistent environment for their ML code, and reproducible results for their models.
Use this if you are an ML researcher or engineer running many experiments on a Slurm cluster and need a robust, reproducible way to manage your code, configurations, and results.
Not ideal if you primarily develop ML models on a local machine without needing cluster resource management or containerization for deployment.
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10
Forks
6
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
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