Resources

A curated shelf for textbooks, papers, tools, courses, blogs, and roadmaps.

This page is for collecting useful references and turning scattered links into a stable learning system.

GitHubUsing

Mass Spectra Recognition GitHub Repository

Code and documentation for the mass spectra screenshot parsing prototype with rule baseline and CNN / Transformer interfaces.

mass-spectraCNNTransformerproject
Open resource
ToolUsing

Mass Spectra Browser Demo

A public static demo for uploading spectrum screenshots and inspecting lightweight rule-based peak extraction results.

demoGitHub Pagespeak-extraction
Open resource
RoadmapUsing

Data Structures and Algorithms Roadmap

A personal route for turning algorithm practice into reusable patterns.

DSAinterviewfoundation
Open resource
CollectionPlanned

Deep Learning Reference Shelf

Books, courses, and paper notes for neural networks, CNN, Transformer, and vision models.

deep-learningAI
Open resource
PaperUsing

Computer Vision Paper List

A growing list of detection, segmentation, 3D vision, OCC, and Gaussian Splatting papers.

CVpapersresearch
Open resource
ToolReference

PyTorch Documentation

Primary reference for model implementation, training loops, datasets, and tensors.

PyTorchML
Open resource
BlogUsing

Git and GitHub Workflow Notes

A personal workflow for commits, branches, project documentation, and experiment snapshots.

Gitworkflow
Open resource
CollectionUsing

Research Reading Template

A reusable template for paper summaries, core questions, limitations, and reproduction ideas.

researchpapers
Open resource