Mass Spectra Recognition GitHub Repository
Code and documentation for the mass spectra screenshot parsing prototype with rule baseline and CNN / Transformer interfaces.
Resources
This page is for collecting useful references and turning scattered links into a stable learning system.
Code and documentation for the mass spectra screenshot parsing prototype with rule baseline and CNN / Transformer interfaces.
A public static demo for uploading spectrum screenshots and inspecting lightweight rule-based peak extraction results.
A personal route for turning algorithm practice into reusable patterns.
Books, courses, and paper notes for neural networks, CNN, Transformer, and vision models.
A growing list of detection, segmentation, 3D vision, OCC, and Gaussian Splatting papers.
Primary reference for model implementation, training loops, datasets, and tensors.
A personal workflow for commits, branches, project documentation, and experiment snapshots.
A reusable template for paper summaries, core questions, limitations, and reproduction ideas.