CLAIRE-Labo/python-ml-research-template
A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/CLAIRE-Labo/no-representation-no-trust
This template helps machine learning researchers quickly set up Python-based research projects that are reproducible across different computing environments, including local machines, remote servers, and managed clusters with hardware acceleration like GPUs. It provides a structured starting point, taking away the pain of environment setup and making it easier to share, manage, and reproduce research experiments. This is ideal for machine learning researchers, data scientists, and anyone needing to ensure the reliability and consistency of their experimental results.
114 stars. No commits in the last 6 months.
Use this if you are starting a new machine learning research project and want to ensure your experiments are reproducible and can be easily run on various hardware-accelerated platforms.
Not ideal if you are a beginner looking for a simple script template without advanced experiment management or if your project doesn't involve machine learning research or hardware acceleration.
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Last pushed
Jun 06, 2025
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