erisahasani / synthetic-data-for-neural-operatorsView external linksLinks
Synthetic data library used in operator learning for PDE problems that overcomes dependence on classical solvers such as finite differences, finite element, etc.
☆17Aug 8, 2024Updated last year
Alternatives and similar repositories for synthetic-data-for-neural-operators
Users that are interested in synthetic-data-for-neural-operators are comparing it to the libraries listed below
Sorting:
- MIONet: Learning multiple-input operators via tensor product☆44Nov 13, 2022Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 4 years ago
- ☆11Oct 15, 2025Updated 4 months ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Mar 12, 2021Updated 4 years ago
- ☆14Mar 3, 2022Updated 3 years ago
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- Water wave models in one dimension☆10Jan 4, 2026Updated last month
- Learning Generalized Physical Representation from a Few Examples☆17Feb 9, 2026Updated last week
- Neural Destruction Search for Vehicle Routing Problems☆18Oct 6, 2025Updated 4 months ago
- On Robustness of Neural Ordinary Differential Equations☆11Oct 12, 2021Updated 4 years ago
- Repo for iPython Notebooks from allofyourbases.wordpress.com☆11Oct 8, 2018Updated 7 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆12Mar 24, 2023Updated 2 years ago
- Official Implement for Paper "Neural Krylov Iteration for Accelerating Linear System Solving"☆13May 6, 2025Updated 9 months ago
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Oct 31, 2021Updated 4 years ago
- ☆12Nov 29, 2021Updated 4 years ago
- ☆10Aug 22, 2023Updated 2 years ago
- ☆28Jan 15, 2026Updated last month
- ☆11Feb 8, 2023Updated 3 years ago
- ☆10Mar 14, 2021Updated 4 years ago
- Iterated Local Search (ILS) metaheuristic applied to the Prize Collecting Traveling Salesman Problem (PCTSP).☆10Jul 15, 2019Updated 6 years ago
- ☆15Dec 31, 2023Updated 2 years ago
- Code for the blog post☆12Jan 15, 2021Updated 5 years ago
- We present cod-bench containing 12 operators and 10 datasets.☆11Jun 5, 2024Updated last year
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 2 years ago
- Transformer and Neural Operator for solving Stochastic PDE☆12May 22, 2022Updated 3 years ago
- ☆14Jan 22, 2025Updated last year
- ☆15Nov 20, 2023Updated 2 years ago
- Accompanying code for "Weak form generalized Hamiltonian learning"☆10Feb 13, 2021Updated 5 years ago
- Tensorflow version of the AdaMod Optimizer☆11May 12, 2020Updated 5 years ago
- Generate Parametric Ship Hull with a Guided Tabular Diffusion Model☆14Dec 5, 2024Updated last year
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 4 years ago
- Official implementation of "Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning"☆10Jun 22, 2024Updated last year
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆12Apr 11, 2024Updated last year
- Published in IEEE Trans. Comput. Imag.☆10Oct 22, 2024Updated last year
- ☆15Jun 25, 2025Updated 7 months ago
- Axion field evolution around QCD☆14Updated this week
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆51Aug 16, 2024Updated last year
- Code used in paper submitted to ICASSP 2019☆14Nov 22, 2018Updated 7 years ago
- ☆19Apr 5, 2024Updated last year