deepselect
deepselect is DeepSelect: TopK kernels for DeepSeek Sparse Attention (DSA) and Samplers - deepseek-ai/DeepSelect. It is ranked #359 on the AI Radar, in AI infra & evals, first seen 9 days ago and shared in 4 posts (151.9k views).
What people said about deepselect on X
DeepSeek 开源了一些新的代码仓库，方便更容易地部署 V4.1 Flash 以及后续的开源模型： https://github.com/deepseek-ai/deepseek-recipe https://github.com/deepseek-ai/DeepSelect https://github.com/deepseek-ai/DeepJIT
— @tianyi, 9 days ago · 1.1k likes · see the post
🐳 DeepSeek 刚开源了 DeepSelect，大模型里“从海量候选中挑出前 K 个”这一步，比 PyTorch 自带的 torch.topk 快 2 到 20 倍。 它是给 DeepSeek 稀疏注意力 DSA 和采样器用的 TopK 内核，而 DSA 就用在 DeepSeek V3.2、V4 和 V4.1 上。仓库昨天才建，今天就发了 1.0.0。 稀疏注意力的思路是每一步只看最要紧的那部分 token，挑哪几千个就靠 TopK；生成时从约 12.8 万的词表里采样，也要先挑出前 K 个候选。 DeepSelect 把这两个场景分别做了优化：批大小、词表大小随便设，K 最多到…
— @Ryrenz, 8 days ago · 96 likes · see the post
compiled open source links from chenggang: https://github.com/deepseek-ai/DeepSelect https://github.com/deepseek-ai/DeepJIT https://github.com/deepseek-ai/DeepGEMM/pull/432 https://github.com/deepseek-ai/FlashMLA/pull/221 Big whale OSS day
— @nopainkiller, 9 days ago · 68 likes · see the post
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deepselect in numbers
- Rank on the AI Radar: #359 of 1192
- Shared in 4 posts by 4 accounts: @tianyi, @Ryrenz, @nopainkiller, @zephyr_z9
- 151.9k views on those posts
- First seen 9 days ago, last shared 8 days ago
- Pricing seen by Jev: open source
- Market: AI infra & evals
FAQ
What is deepselect?
DeepSelect: TopK kernels for DeepSeek Sparse Attention (DSA) and Samplers - deepseek-ai/DeepSelect It was first shared on X 9 days ago and is ranked #359 on the AI Radar.
Is deepselect free?
It is open source.
Who shared deepselect?
4 accounts on X, including @tianyi, @Ryrenz, @nopainkiller, in 4 posts totalling 151.9k views.
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 27.2k posts from 4.8k X accounts over the last 14 days, 1.2k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 18:40 UTC. Full method.