Simple-Attention-Sparsification
Code for our resarch paper "SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking"
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GITHUB · launched Sep 10, 2026 · 48 upvotes (top 18%) · 0 views
Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 303 launches in machine learning developer tools →
Could you build this?
No Developing novel attention sparsification techniques via end-to-end optimization requires PhD-level machine learning research, mathematical formulation, and low-level GPU kernel programming.
What it would actually take: Implementation requires PyTorch and custom CUDA or Triton kernels to efficiently compute sparse attention matrices without materializing quadratic intermediate states. The primary difficulty lies in formulating a differentiable context ranking objective that maintains gradient stability while pruning attention heads or context tokens. This requires deep algorithmic research expertise and access to high-performance GPU clusters.
Competitors
Other products that read as similar to this one : 1373 launches clear the similarity bar, closest 8 shown.
Attention rank: #215 of 1374 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 315 days after the earliest competitor.
- DeepSelect · github · 2026-09-09 · 327 upvotes · similarity 0.65
- LeapQuant · github · 2026-11-11 · 50 upvotes · similarity 0.59
- FlashMask · github · 2026-10-14 · 35 upvotes · similarity 0.58
- stack-attention · github · 2026-09-17 · 10 upvotes · similarity 0.58
- fp4Attn · github · 2026-10-25 · 15 upvotes · similarity 0.57
- jev-reranker · github · 2026-09-19 · 16 upvotes · similarity 0.56
- TRACE · github · 2026-10-03 · 10 upvotes · similarity 0.56
- DASA · github · 2026-10-13 · 29 upvotes · similarity 0.55
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