# dataflowr/gpu\_llm\_flash-attention

<https://repo.masters-masters.com/en/repos/dataflowr/gpu_llm_flash-attention>

[Home](https://repo.masters-masters.com/en) › [dataflowr](https://repo.masters-masters.com/en/owners/dataflowr) › [gpu\_llm\_flash-attention](https://repo.masters-masters.com/en/repos/dataflowr/gpu_llm_flash-attention)

dataflowr/gpu\_llm\_flash-attention has 103 stars on GitHub. Its RepoMasters card: Prototype tier. Course on Flash-attention in Triton Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [dataflowr](https://repo.masters-masters.com/en/owners/dataflowr) |
| Stars | 103 |
| Forks | 9 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | attention-mechanism, flash-attention, gpu, pytorch, triton |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [dataflowr/gpu\_llm\_flash-attention](https://github.com/dataflowr/gpu_llm_flash-attention) |

## Repository

Course on Flash-attention in Triton

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.