luocfprime/labtasker
Experiment task scheduling made easy.
This project helps machine learning researchers and engineers run their experiments more efficiently. It takes your existing experiment wrapper scripts and orchestrates them, allowing for parallel execution across multiple GPU workers. The output is a series of completed experiments, with robust handling for failures and easy resumption of work.
Available on PyPI.
Use this if you are an ML researcher or engineer running many computational experiments and need to manage task prioritization, distribute workloads, handle failures gracefully, and automate aspects of your workflow.
Not ideal if you are looking for a general-purpose job scheduler for non-ML tasks, or if your experiments are simple, one-off runs that don't require complex orchestration.
Stars
30
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
24
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