operator-learning
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PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
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Dec 10, 2025 - Python
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
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Aug 4, 2023 - Python
Datasets and code for results presented in the BOON paper
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Mar 2, 2023 - Jupyter Notebook
Code for training and inferring acoustic wave propagation in 3D
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Nov 9, 2025 - Python
Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
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Nov 2, 2024 - Python
PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
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Jun 3, 2025 - Python
An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
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Oct 13, 2025 - Python
Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"
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Aug 21, 2025 - Python
Folax (Finite Operator Learning with JAX) is a framework for solving and optimizing PDEs by integrating machine learning with numerical methods in computational mechanics.
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Dec 17, 2025 - Python
Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces" (SIREV SIGEST 2024, SISC 2021)
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Aug 8, 2024 - Python
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion
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Nov 3, 2025 - Python
Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction
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Nov 22, 2024 - Jupyter Notebook
Nonlinear model reduction for operator learning
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Sep 12, 2024 - Python
Benchmarking Surrogates for coupled ODE systems.
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Sep 17, 2025 - Python
Hyperbolic Learning Rate Scheduler
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May 3, 2025 - Python
Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features'' (NeurIPS 2023, Spotlight)
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Aug 8, 2024 - Python
DMD Neural Operator - A neural operator using DMD analysis to approximate the PDEs
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Oct 21, 2025 - Jupyter Notebook
Project Portfolio
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Aug 6, 2024 - Jupyter Notebook
A short course on Scientific Machine Learning
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Jul 15, 2025
Final projects for 401-4656-21L AI in Sciences and Engineering @ ETHz. Includes implementation of Fourier Neural Operator (FNO) with time dependency, data-driven symbolic regression with PDE-Find and foundation model based on FNO for phase-field dynamics
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Jan 20, 2025 - Python
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