repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
Lightning-AI/torchmetrics
Machine learning metrics for distributed, scalable PyTorch applications.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP →
- PossiblePossibly related (embedding) · 53%TorchJD: Training with multiple losses in PyTorch [P] →
- PossiblePossibly related (embedding) · 51%Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials →
- PossiblePossibly related (embedding) · 49%Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures →
- PossiblePossibly related (embedding) · 47%Quantitative Gaussian-Process limits of Tensor Programs →
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Related across the graph
newsTorchJD: Training with multiple losses in PyTorch [P]newsProfiling in PyTorch (Part 2): From nn.Linear to a Fused MLPpaperQuantitative Gaussian-Process limits of Tensor ProgramspaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperSystematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures