genpark-ldpc-tanner-graph-belief-propagation-skill
Low-Density Parity-Check (LDPC) Tanner graph belief propagation decoder with sum-product LLR message passing
Details
- External ID
- 1392490732
- Source
- GITHUB
- Company
- —
- Product
- genpark-max-sum-factor-graph-belief-propagation-skill
- Website domain
- github.com
- Launched
- Sept. 28, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.05976172175249808
- Tags
- agent-skills, belief-propagation, channel-capacity, error-correcting-code, ldpc, mcp, message-passing, python-standard-library, sparse-graph, sum-product, tanner-graph
- Fetched at
- Sept. 30, 2026, 1:02 a.m.
- Updated at
- Sept. 30, 2026, 1:02 a.m.
Enrichment
- Theme
- low-level systems and developer tools
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- ldpc tanner graph belief propagation decoder for error correction
- Manually corrected
- False
Could you build this?
Yes An LDPC Tanner graph belief propagation decoder using standard sum-product LLR message passing is a well-defined mathematical algorithm that can be completely coded via standard AI prompting.
Competitors
Other products that read as similar to this one — 660 launches clear the similarity bar, closest 8 shown.
Attention rank: #515 of 661 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 329 days after the earliest competitor.
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Other launches for this product
Same idea, different domain
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