Hardware●●Solid
Low-rank approximation for 3x3 FPGA convolutions (33% less DSP usage)
Clever ML+hardware co-design, but a blog post without open-source code, benchmarks, or deployment examples.
WizardryNiche Gem
el_dockerr
114mo ago
Back to browse
GitHub Repository
A conv layer that modulates its output using its own kernel weights as a spatial mask
0 starsPython
ReflexConv2d – 57% less blur in image reconstruction
by singam96·Jun 23, 2026·3 points·0 comments
AI Analysis
●●●●GemWizardryBig BrainZero to One
Novel conv layer cuts blur 57% with weight-derived spatial masks.
Strengths
- •Genuinely novel architecture using kernel weights as spatial masks
- •Comprehensive ablation studies isolating each component's contribution
- •pip installable with working code and benchmark results
Weaknesses
- •Specialized for image-to-image reconstruction tasks specifically
- •Zero stars and forks suggests very early community adoption
Category
Target Audience
ML researchers and image reconstruction practitioners
Similar To
Standard Conv2d · U-Net · ResNet
Similar Projects
Infrastructure●●Solid
Module adding Layer-3 protocols SV and GOOSE to ns-3 network simulator
Native IEC 61850 protocol support in ns-3 when no module existed before.
Niche GemBig Brain
lucasoshiro
2020d ago
AI/ML●●Solid
AgentKeeper – cognitive persistence layer for AI agents
Cross-provider agent memory is clever, but LLM context windows keep growing and RAG is already standard.
Solve My ProblemShip ItBig Brain
thinklanceai
303mo ago
AI/ML●●Solid
Meaning forks. SRT sees it
Frozen models gain reflexive awareness via lightweight hidden state intervention taps.
Big BrainNiche Gem
spacebacon
101mo ago
AI/ML●●Solid
AgentKeeper – Cross-model memory for AI agents
Recovers 95% critical facts when switching GPT-4 ↔ Claude with real benchmarks.
Solve My ProblemBig Brain
thinklanceai
104mo ago
Developer Tools●●Solid
Deadcode Removal Layer for My Compiler in Less Than 140 LOC
This is a concise dead-code-elimination pass implemented as ~140 LOC of readable Rust: it walks op dependencies via a match over Op variants, collects reachable OpRefs, and prunes the op pool. It’s not reinventing compiler theory, but the implementation is tidy and immediately pluggable into a small IR/dataflow project — useful as a reference or drop-in optimizer. Lacking benchmarks, docs on integration, or tests, it’s more of a pragmatic utility than a research contribution.
Niche GemShip It
ronfriedhaber
104mo ago