# datawhalechina/llm-algo-leetcode

<https://repo.masters-masters.com/en/repos/datawhalechina/llm-algo-leetcode>

[Home](https://repo.masters-masters.com/en) › [datawhalechina](https://repo.masters-masters.com/en/owners/datawhalechina) › [llm-algo-leetcode](https://repo.masters-masters.com/en/repos/datawhalechina/llm-algo-leetcode)

datawhalechina/llm-algo-leetcode has 736 stars on GitHub. Its RepoMasters card: Beta tier. LLM algorithm practice lab with theory, solutions, and test…

| Field | Value |
| --- | --- |
| Owner | [datawhalechina](https://repo.masters-masters.com/en/owners/datawhalechina) |
| Stars | 736 |
| Forks | 149 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2026 |
| Topics | cuda, notebook, nvidia, pytorch, test-driven, triton, llm-algorithm, llm-infra, hardware-system |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [datawhalechina/llm-algo-leetcode](https://github.com/datawhalechina/llm-algo-leetcode) |

## Repository

LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》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 tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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