CVPR 2025, A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
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Jun 24, 2025 - Python
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neuraloperator
Here are 5 public repositories matching this topic...
About code release of "Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm"
efficiency pytorch scientific-computing finite-element-methods differentiable-programming physics-informed-neural-networks neuraloperator
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Feb 10, 2026 - Python
Implementation of the Time-Evolving Neural Operator (TENO) for multiphase flow field reconstruction. The framework employs a rollout-aware training strategy to improve long-horizon prediction accuracy and stability. Includes training, evaluation, and diagnostic.
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Apr 22, 2026 - Jupyter Notebook
Physics-Informed Neural Operator (PINO) for coupled transport–reaction systems, supporting forward prediction and inverse parameter identification with fast and physics-consistent surrogate modeling.
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Apr 29, 2026 - Jupyter Notebook
Difficulty-mixed PDE datasets and baselines enabling 8.9× cheaper training for neural PDE solvers
machine-learning deep-learning machine-learning-algorithms pde-solver scientific-machine-learning foundational-datasets neuraloperator
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Jan 22, 2026 - C++
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