Use Fourier transform to learn operators in differential equations.
☆27Jan 6, 2023Updated 3 years ago
Alternatives and similar repositories for fourier_neural_operator
Users that are interested in fourier_neural_operator are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆55Aug 6, 2023Updated 2 years ago
- GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D g…☆37Jan 20, 2026Updated 6 months ago
- ☆40Jul 10, 2024Updated 2 years ago
- This is the implementation of the RecFNO.☆27Feb 21, 2023Updated 3 years ago
- CO2GraVISim is a reduced physics model of the flow of CO2 injected into a porous reservoir☆12Mar 25, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 2024Updated 2 years ago
- A Zen approach to configuring your Python project☆17Feb 27, 2026Updated 4 months ago
- ☆17Dec 31, 2023Updated 2 years ago
- ☆23Jun 21, 2024Updated 2 years ago
- This project compares the performance of Swin-Transformer v2 implemented in JAX and PyTorch.☆12Jun 8, 2022Updated 4 years ago
- An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding☆22Jun 24, 2026Updated 3 weeks ago
- ☆15Jul 12, 2022Updated 4 years ago
- hdnet - Hopfield denoising network☆14Oct 6, 2022Updated 3 years ago
- This repository consists of two-step training DeepONet code.☆13May 22, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A comprehensive benchmark for machine learning multiphysics flows☆18Feb 3, 2026Updated 5 months ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- Research Papers on Efficient Neural Fields from EffL Group☆16Apr 21, 2025Updated last year
- Codes for scientific charts☆11Dec 30, 2025Updated 6 months ago
- Kimariyb 的科研绘图脚本,涵括很多类型的曲线图☆10Nov 1, 2023Updated 2 years ago
- ☆11May 26, 2023Updated 3 years ago
- ☆11Mar 18, 2023Updated 3 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 7 months ago
- ☆96Apr 30, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ICLR2022] CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture☆19Feb 21, 2022Updated 4 years ago
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- ☆16Feb 28, 2026Updated 4 months ago
- R Package for Spatial Conformal Prediction☆10Aug 6, 2022Updated 3 years ago
- Quantification of Uncertainties in Neural Networks☆11Feb 25, 2026Updated 4 months ago
- Papers and codes of Physics-informed Deep Compositional Operator Network☆14Oct 31, 2025Updated 8 months ago
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 3 years ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆60Aug 19, 2025Updated 11 months ago
- 2D finite differences numerical modeling of seismic wave scattered by near-surface heterogeneities.☆12May 12, 2022Updated 4 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.
- ☆10Dec 14, 2024Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 6 months ago
- ☆14Jun 3, 2024Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆178Sep 6, 2024Updated last year
- ☆11Apr 5, 2022Updated 4 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆45Apr 14, 2021Updated 5 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆55May 31, 2023Updated 3 years ago