☆49Dec 7, 2022Updated 3 years ago
Alternatives and similar repositories for Operator-Learning
Users that are interested in Operator-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Mar 19, 2024Updated 2 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Oct 13, 2025Updated last year
- Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-inde…☆10Jul 2, 2026Updated 3 months ago
- ☆14Dec 10, 2024Updated last year
- ☆13Dec 19, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆74Jun 10, 2024Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆21Jan 9, 2024Updated 2 years ago
- [ICLR 2023] Interplay between the Attention and Electrical Impedance Tomography☆35Oct 22, 2022Updated 4 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆199Oct 13, 2023Updated 3 years ago
- ☆23Aug 24, 2025Updated last year
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆361Apr 16, 2026Updated 6 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆23Sep 3, 2024Updated 2 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- ☆19Apr 5, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆16Dec 18, 2023Updated 2 years ago
- ☆30Jul 8, 2024Updated 2 years ago
- ☆98Sep 2, 2024Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆234Nov 24, 2025Updated 11 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆30Jun 4, 2023Updated 3 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆43Jul 17, 2025Updated last year
- ☆76Oct 5, 2026Updated 3 weeks ago
- USC seminar review of deep learning application to PDE solving and ROM☆11May 20, 2021Updated 5 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆27Jun 3, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆24Mar 3, 2023Updated 3 years ago
- Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces" (SIREV SIGEST 2024, SISC 2021)☆15Aug 8, 2024Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,223Mar 30, 2026Updated 7 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆87Aug 4, 2023Updated 3 years ago
- ☆14Jan 22, 2022Updated 4 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆155Oct 18, 2019Updated 7 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆401Jul 14, 2023Updated 3 years ago
- Here you find the Spectral Operator Learning Under construcTION☆21May 8, 2024Updated 2 years ago
- Fourier_neural_operator☆18Jan 27, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆41Jul 9, 2025Updated last year
- No need to train, he's a smooth operator☆45Dec 15, 2025Updated 10 months ago
- Multiwavelets-based operator model☆70Feb 16, 2022Updated 4 years ago
- ☆31Mar 17, 2026Updated 7 months ago
- Official codebase for "Score-based Diffusion Models in Function Space"☆20Jan 23, 2025Updated last year
- Official implementation of QuanONet: A pure quantum neural operator framework for solving PDEs/ODEs with adaptive frequency strategies.☆19Jul 3, 2026Updated 3 months ago
- ☆13Mar 1, 2026Updated 8 months ago