wfondrie/depthcharge
A deep learning toolkit for mass spectrometry
This toolkit helps mass spectrometry scientists and researchers build specialized AI models to interpret their experimental data. It takes raw mass spectra (like peptide or small molecule readings) as input and outputs a trained deep learning model capable of analyzing new spectral data for tasks like identification or quantification. This is ideal for computational mass spectrometrists and bioinformaticians who are exploring novel ways to apply deep learning to their challenging datasets.
Use this if you are a computational mass spectrometrist who wants to quickly design and prototype custom deep learning models for analyzing complex mass spectrometry data without starting from scratch.
Not ideal if you are looking for an off-the-shelf software to directly process your mass spec data or if you are not comfortable with deep learning model development.
Stars
87
Forks
25
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 07, 2026
Commits (30d)
0
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