repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 2d ago
nilearn/nilearn
Machine learning for NeuroImaging in Python
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 47%EEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection →
- PossiblePossibly related (embedding) · 46%Contravariance Theory: Strong Alignment for Minimal Solutions to Hard Tasks →
- PossiblePossibly related (embedding) · 50%Advancing Neurological Disease Prediction through Machine Learning Techniques - lincolnjournal.com →
- PossiblePossibly related (embedding) · 46%Advancing Neurological Disease Prediction through Machine Learning Techniques - True North Radio Network →
- PossiblePossibly related (embedding) · 48%Brain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax - Tech Times →
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Covers (incoming)
newsAdvancing Neurological Disease Prediction through Machine Learning Techniques - lincolnjournal.comnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - True North Radio NetworknewsBrain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax - Tech Times
Related across the graph
paperEEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike DetectionnewsBrain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax - Tech TimesnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - lincolnjournal.comnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - True North Radio NetworkpaperContravariance Theory: Strong Alignment for Minimal Solutions to Hard Tasks