AI/ML●●●Banger
Watch a neural net discover molecules by arguing with itself
Two RL clones duel in-browser with epiplexity selection — no human tuning the explore-exploit knob.
WizardryRabbit HoleBig Brain
cmaicurious
101mo ago
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GitHub Repository
Training-free, token-free topological collapse engine. No training, no tokens, no neural net. Runs offline. AGPLv3.
0 starsPython
A signal engine with no training, no tokens, no neural net
by JJardine919·Jul 8, 2026·1 point·0 comments
AI Analysis
●●SolidBig BrainNiche Gem
Persistent homology across three domains with honest failure reporting.
Strengths
- •Shows where topology fails, not just successes — rare honesty in ML-adjacent projects
- •Reproducible demos with public datasets (OpenNeuro, Gravity Spy, NASA PCoE)
- •No training, no tokens, no API keys — runs fully offline on a laptop
Weaknesses
- •Octonion/Moonshine framing may obscure what's actually happening under the hood
- •Niche audience — TDA isn't mainstream for most signal processing workflows
Category
Target Audience
Data scientists and researchers working with signal analysis
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giotto-tda · Ripser · scikit-tda
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