repoGitHubTrust 82 · PrimaryPublished 9d agoLive · 9d ago
tensorflow/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
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.
- FuzzySimilar title/name (fuzzy) · 84%Separation Capacity of Scattering Networks on Low-Dimensional Datasets →
“Fuzzy title match (0.92): “Separation Capacity of Scattering Networks on Low-Dimensiona” ≈ “tensorflow/datasets””
- FuzzySimilar title/name (fuzzy) · 84%A Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental Datasets →
“Fuzzy title match (0.92): “A Multi-Fidelity Convolutional Autoencoder-Transfer Learning” ≈ “tensorflow/datasets””
- FuzzySimilar title/name (fuzzy) · 84%Unsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site Datasets →
“Fuzzy title match (0.92): “Unsupervised Domain Adaptation for Calcification Classificat” ≈ “tensorflow/datasets””
Implements
paperSeparation Capacity of Scattering Networks on Low-Dimensional DatasetspaperA Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental DatasetspaperUnsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site Datasets
Related across the graph
paperSeparation Capacity of Scattering Networks on Low-Dimensional DatasetspaperA Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental DatasetspaperUnsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site Datasets