harleyszhang/cv_note resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2638 stars · 390 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of study notes documenting the growth path of a computer vision algorithm engineer, covering deep learning fundamentals, model compression, and deployment techniques. It also promotes a paid course on building an LLM inference framework with Triton and PyTorch.

Use cases

• prepare for computer vision algorithm engineer interviews
• learn model compression and quantization techniques
• study model deployment on embedded devices
• review deep learning fundamentals and interview questions
• follow a structured CV engineer learning roadmap

When to choose

• you want free, organized notes on CV algorithms and model deployment
• you are preparing for algorithm engineer job interviews
• you prefer Chinese-language learning material for computer vision

When to avoid

• you need production-ready CV software or libraries
• you want English-language documentation
• you need a maintained tool rather than study notes

Facets

learning-resource · maturity active

machine-learning deep-learning developer-tools computer-vision deep-learning tutorials education python cpp cross-platform cv-notes model-compression model-deployment interview-preparation study-notes llm-inference

Member repositories

For agents

markdown · JSON · MCP: product_card(name="harleyszhang/cv_note")