Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
☆16May 27, 2024Updated 2 years ago
Alternatives and similar repositories for Semi-supervised_Invertible_Neural_Operators
Users that are interested in Semi-supervised_Invertible_Neural_Operators are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆49Jul 6, 2023Updated 3 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Apr 25, 2024Updated 2 years ago
- ☆28Dec 21, 2023Updated 2 years ago
- One-shot learning for solution operators of partial differential equations☆32Nov 20, 2025Updated 9 months ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆37Aug 2, 2022Updated 4 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.
- Use Fourier transform to learn operators in differential equations.☆16Feb 2, 2024Updated 2 years ago
- ☆17Feb 3, 2023Updated 3 years ago
- Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems☆14May 17, 2023Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- ☆13Apr 15, 2024Updated 2 years ago
- ☆44Jun 18, 2023Updated 3 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆22Sep 3, 2024Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆60Aug 19, 2025Updated last year
- This is the implementation of the RecFNO.☆27Feb 21, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 使用PyGMT提取三维切片并绘制三维速度模型☆51Jun 1, 2026Updated 3 months ago
- A software package for isotropic/anisotropic 3D forward modeling of frequency-domain electromagnetic (CSEM and MT) data.☆37Jan 7, 2022Updated 4 years ago
- Learning function operators with neural networks.☆36Aug 22, 2024Updated 2 years ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Aug 8, 2022Updated 4 years ago
- ☆11Oct 15, 2025Updated 10 months ago
- A python solver of futoshikis from an image☆11Jul 24, 2023Updated 3 years ago
- Separabale Physics-Informed DeepONets in JAX☆28Nov 29, 2024Updated last year
- ☆36Jun 12, 2026Updated 2 months ago
- ☆11Apr 2, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Physics Informed Fourier Neural Operator☆32Nov 21, 2024Updated last year
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆43Jul 17, 2025Updated last year
- Bayesian optimized physics-informed neural network for parameter estimation☆33Nov 20, 2024Updated last year
- ☆11Sep 23, 2023Updated 2 years ago
- Burgers equation solved by PINN in PyTorch☆26Oct 1, 2021Updated 4 years ago
- The first global synthetic dataset for physics-ML seismic wavefield modeling and full-waveform inversion☆28Jul 30, 2024Updated 2 years ago
- Quantitative MRI toolbox in Python☆13Dec 19, 2024Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆30Jun 4, 2023Updated 3 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆37Nov 10, 2025Updated 9 months 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.
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆195Apr 10, 2025Updated last year
- ☆30Mar 17, 2026Updated 5 months ago
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆39Dec 29, 2023Updated 2 years ago
- ☆65Jun 18, 2026Updated 2 months ago
- ☆19Aug 13, 2024Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆228Nov 24, 2025Updated 9 months ago
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆173Apr 29, 2025Updated last year