Python Machine Learning Research Template
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Zenodo
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901425558126592 |
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| author | Moalla, Skander |
| author_facet | Moalla, Skander |
| contents | A template for starting Python machine learning research projects with hardware acceleration. It features reproducible environments on major platforms, a great development experience, Python project packaging following PyPA guidelines to avoid hacky imports, experiment management and tracking with Hydra and Weights & Biases, checkpointing for research experiments compatible with Weights & Biases, and code quality enforcement with pre-commit. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15609829 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Python Machine Learning Research Template Moalla, Skander python machine learning reproducibility containers template A template for starting Python machine learning research projects with hardware acceleration. It features reproducible environments on major platforms, a great development experience, Python project packaging following PyPA guidelines to avoid hacky imports, experiment management and tracking with Hydra and Weights & Biases, checkpointing for research experiments compatible with Weights & Biases, and code quality enforcement with pre-commit. |
| title | Python Machine Learning Research Template |
| topic | python machine learning reproducibility containers template |
| url | https://doi.org/10.5281/zenodo.15609829 |