ALebrun-108 / BoxSERS

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

Date Created 2020-06-17 (4 years ago)

Commits 352 (last one about a month ago)

Stargazers 58 (0 this week)

Watchers 3 (0 this week)

Forks 15

License mit

Ranking

RepositoryStats indexes 584,777 repositories, of these ALebrun-108/BoxSERS is ranked #419,410 (28th percentile) for total stargazers, and #422,609 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #10,785/17,124.

ALebrun-108/BoxSERS is also tagged with popular topics, for these it's ranked: python (#17,163/22023), deep-learning (#6,527/8398), machine-learning (#6,206/7935)

Other Information

There have been 8 releases, the latest one was published on 2024-09-25 (about a month ago)

All Topics

sers python cnn-keras chemometrics pca-analysis deep-learning preprocessing machine-learning data-augmentation raman-spectroscopy baseline-correction unsupervised-learning vibrational-spectroscopy

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Recent Commit History

70 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

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updated: 2024-11-05 @ 12:31am, id: 273074387 / R_kgDOEEbI0w