shen-shanshan/cs-self-learning

This repo is used for archiving my notes, codes and materials of cs learning.

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This is a curated collection of self-learning notes, technical blogs, and papers for individuals delving into computer science, particularly focusing on AI infrastructure, large language models (LLMs), and GPU/NPU computing. It provides structured learning materials and deep dives into concepts like LLM inference engines and high-performance computing. This resource is ideal for self-motivated learners, AI infrastructure beginners, and researchers looking to deepen their understanding of modern AI systems.

Use this if you are a computer science student, an AI enthusiast, or a professional developer looking to self-study and understand the foundational and advanced concepts behind AI infrastructure, LLMs, and high-performance computing.

Not ideal if you are looking for a project that solves a non-technical business problem or if you need an interactive course with exercises and personalized feedback rather than a collection of notes and resources.

AI-infrastructure large-language-models GPU-computing computer-science-education deep-learning-research
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 6 / 25

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81

Forks

3

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 12, 2026

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