llm-algo-leetcode – Master LLM Algorithms with Hands‑On Notebooks
From the repo · “LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法实战教程》面向大模型入门到进阶的算法实战教程,覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。”
The llm-algo-leetcode tool provides a practice lab for startup founders to learn and implement large language model algorithms with theory, solutions, and test cases, including CUDA and Triton.
- •When you need to improve your understanding of large language model algorithms
- •When you want to practice implementing algorithms with real test cases
- •When you need a resource to learn CUDA and Triton for large language model development
Run the `llm_algo_leetcode.ipynb` Jupyter Notebook to start the practice lab and explore the large language model algorithms
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/llm-algo-leetcode && curl -fsSL https://workflowstacks.com/api/skills/llm-algo-leetcode/claude-skill -o ~/.claude/skills/llm-algo-leetcode/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Llm-algo-leetcode – Master LLM Algorithms with Hands‑On Notebooks is mostly documents (746 doc files, 102 small scripts) — something you read, not something you run. There is nothing to install. Last commit this month, Other license.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/llm-algo-leetcode && curl -fsSL https://workflowstacks.com/api/skills/llm-algo-leetcode/claude-skill -o ~/.claude/skills/llm-algo-leetcode/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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