repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 12d ago
fastai/fastai
The fastai deep learning library
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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) · 51%Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials →
- PossiblePossibly related (embedding) · 50%DeepSeek open-sources inference optimizations with 60–85% faster generation [pdf] →
- PossiblePossibly related (embedding) · 48%deepseek-ai/DeepSeek-OCR →
- PossiblePossibly related (embedding) · 48%deepseek-ai/DeepSeek-V3 →
- PossiblePossibly related (embedding) · 51%TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning →
- PossiblePossibly related (embedding) · 47%Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures →
- PossiblePossibly related (embedding) · 47%Are the contents of this monograph reliable to the modern theoretical understanding of deel neural networks? [D] →
- PossiblePossibly related (embedding) · 51%Are the contents of this monograph reliable with respect to the modern theoretical understanding of deep neural networks? [D] →
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newsAre the contents of this monograph reliable to the modern theoretical understanding of deel neural networks? [D]newsAre the contents of this monograph reliable with respect to the modern theoretical understanding of deep neural networks? [D]newsSDSC to Host Fast Machine Learning for Science Conference - HPCwire
Related across the graph
newsAre the contents of this monograph reliable with respect to the modern theoretical understanding of deep neural networks? [D]modeldeepseek-ai/DeepSeek-V3paperTabPack: Efficient Hyperparameter Ensembles for Tabular Deep LearningnewsSDSC to Host Fast Machine Learning for Science Conference - HPCwirenewsAre the contents of this monograph reliable to the modern theoretical understanding of deel neural networks? [D]paperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentialsmodeldeepseek-ai/DeepSeek-OCRnewsDeepSeek open-sources inference optimizations with 60–85% faster generation [pdf]paperSystematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures