repoGitHubTrust 82 · PrimaryPublished yesterdayLive · 15h ago
NVIDIA/physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Covers
Implements
paperA Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental DatasetspaperGPU Parallelization Strategies for Forward and Backward Propagation in Shallow Neural Networks: A CUDA-Based Comparative Study
Implements (incoming)
Related across the graph
newsFrom Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific DiscoveriespaperA Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental DatasetspaperRadiomicNet: A Hybrid Radiomics-Guided Lightweight Architecture for Interpretable Medical Image SegmentationnewsHow Businesses Are Building Specialized AI They Can TrustnewsNVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude SciencepaperAn Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural NetworkspaperGPU Parallelization Strategies for Forward and Backward Propagation in Shallow Neural Networks: A CUDA-Based Comparative Study