RoadmapUsing
Data Structures and Algorithms Roadmap
A personal route for turning algorithm practice into reusable patterns.
DSAinterviewfoundation
Open resource Resources
This page is for collecting useful references and turning scattered links into a stable learning system.
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.