fourier-neural-operators

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MethodsOfMachineLearning / luno

LUNO: Linearized Predictive Uncertainty in Neural Operators

uncertainty-quantification gaussian-processes bayesian-neural-networks bayesian-deep-learning neural-operators fourier-neural-operators

Updated Feb 10, 2026
Python

DDSirota / reservoir-neural-bench

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ReservoirNeuralBench – A controlled benchmark of neural surrogates for 3D reservoir simulation on the Norne field.

benchmark deep-learning pytorch opm reservoir-simulation scientific-machine-learning neural-operators surrogate-modeling fourier-neural-operators physics-ml

Updated Aug 27, 2026
Python

OwhadiGroup / CHONKNORIS

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CHONKNORIS: Operator Learning at Machine Precision

neural-networks partial-differential-equations gaussian-processes cholesky-factorization levenberg-marquardt-algorithm newton-kantorovich-method operator-learning fourier-neural-operators transformer-neural-operators

Updated Aug 5, 2026
Jupyter Notebook

HAYDARKILIC / differential_equations_for_ai

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Differential equations for modern ML, from first principles — Neural ODEs, PINNs, diffusion models, optimal control & neural operators. 8 weeks, NumPy + JAX, fully executed notebooks.

scientific-computing differential-equations numerical-methods optimal-control runge-kutta generative-models sdes jax adjoint-method diffusion-models sciml pinns neural-odes physics-informed-neural-networks fourier-neural-operators

Updated May 29, 2026
Jupyter Notebook

peiman-m / SConvCNP

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Official code for "Spectral Convolutional Conditional Neural Processes" (NeurIPS 2025)

machine-learning deep-learning pytorch uncertainty-quantification gaussian-processes probabilistic-models fourier-transform meta-learning neural-processes amortized-inference in-context-learning operator-learning conditional-neural-processes fourier-neural-operators neurips-2025 spectral-convolution

Updated Jun 11, 2026
Python

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