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ImageMLResearch: A Python Toolkit for Reproducible Image-Based ML Experiments
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| Published in: | Journal of Open Source Software |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1864030193235001348 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Open Source Software |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:45805 |
| institution | FRELIP |
| journal_source_facet | Journal of Open Source Software |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | ImageMLResearch: A Python Toolkit for Reproducible Image-Based ML Experiments Computer Sciience Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Computer Sciience Technology & Engineering — Computing Technology & Engineering Computer Sciience Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Computer Sciience Technology & Engineering — Computing Technology & Engineering |
| title | ImageMLResearch: A Python Toolkit for Reproducible Image-Based ML Experiments |
| title_auth | ImageMLResearch: A Python Toolkit for Reproducible Image-Based ML Experiments |
| title_full | ImageMLResearch: A Python Toolkit for Reproducible Image-Based ML Experiments |
| title_fullStr | ImageMLResearch: A Python Toolkit for Reproducible Image-Based ML Experiments |
| title_full_unstemmed | ImageMLResearch: A Python Toolkit for Reproducible Image-Based ML Experiments |
| title_short | ImageMLResearch: A Python Toolkit for Reproducible Image-Based ML Experiments |
| title_sort | imagemlresearch: a python toolkit for reproducible image-based ml experiments |
| topic | Computer Sciience Technology & Engineering — Computing Technology & Engineering |
| url | https://joss.theoj.org/papers/10.21105/joss.10130 |