repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 24d ago
optuna/optuna
A hyperparameter optimization framework
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 52%DeepSeek open-sources inference optimizations with 60–85% faster generation [pdf] →
- PossiblePossibly related (embedding) · 47%Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials →
- PossiblePossibly related (embedding) · 46%H64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P] →
- PossiblePossibly related (embedding) · 46%Constrained Online Convex Optimization without Slater's Condition →
- PossiblePossibly related (embedding) · 45%Hyperparameter tuning approach question [R] →
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Related across the graph
paperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialsnewsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]newsDeepSeek open-sources inference optimizations with 60–85% faster generation [pdf]paperConstrained Online Convex Optimization without Slater's ConditionnewsHyperparameter tuning approach question [R]