deepseek-ai/DeepSelect

DeepSelect: TopK kernels for DeepSeek Sparse Attention (DSA) and Samplers

Language modelsCuda

2.3 Cooling Magnitude out of 10. Star growth looks organic. Data as of September 14, 2026.

About the project

A high-performance CUDA implementation of the TopK kernel used in DeepSeek Sparse Attention (DSA) and the sampler, speeding up torch.topk by 2-20x. Targeted at developers running DeepSeek V3.2/V4 model inference on GPUs.

Useful for

Speed up top-k token selection when sampling from a ~128K vocabulary on GPU
Replace torch.topk in the Lightning Indexer inside DeepSeek Sparse Attention
Run top-k with variable-length rows via the end argument and out-of-bounds fill values

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

8 stars today.
Interest is fading: the two-day pace is 10% of the previous week and a half.
The spike has held for 3 days in a row — not a one-off blip.
The repository is 4 days old and already has 327 stars.
Top new repositories this week: #33.
Recent forks include notable developers: @lucifer1004 (653 followers).

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 327
Stars in a day: 8
Forks: 18
Issues and pull requests: 13
Watchers: 0
Language: Cuda
License: MIT
Created: September 9, 2026
Last push: September 10, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 13, 2026Top new repositories this week: #30

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/deepseek-ai/DeepSelect.svg?lang=en)](https://gitnova.dev/en/r/deepseek-ai/DeepSelect)

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