shen-shanshan/cs-self-learning
This repo is used for archiving my notes, codes and materials of cs learning.
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.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 12, 2026
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