Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
☆108Aug 4, 2020Updated 5 years ago
Alternatives and similar repositories for cnn-surrogate
Users that are interested in cnn-surrogate are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆151Oct 18, 2019Updated 6 years ago
- Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multi-phase flow in heterogeneous random media☆15Apr 17, 2019Updated 6 years ago
- Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems☆10Mar 20, 2021Updated 5 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93May 11, 2022Updated 3 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A repository that contains scripts to replicate results in the Deep UQ paper.☆12Sep 13, 2018Updated 7 years ago
- Deep autoregressive neural networks for high-dimensional inverse problems☆20May 7, 2019Updated 6 years ago
- Gaussian processes with PyTorch☆30Nov 4, 2021Updated 4 years ago
- Uncertainty Quantification in the POD-NN framework☆24Sep 10, 2020Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- ☆26Jun 16, 2018Updated 7 years ago
- ☆11Jan 5, 2021Updated 5 years ago
- Python tool for creating Kriging surrogate models☆19Mar 18, 2019Updated 7 years ago
- Solving inverse problems using conditional invertible neural networks.☆33Mar 23, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- Richards' Equation model☆26Jun 6, 2018Updated 7 years ago
- modular implementation of new algorithm☆13Jun 4, 2014Updated 11 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Jan 13, 2020Updated 6 years ago
- ☆10Jul 16, 2021Updated 4 years ago
- Finite volume based solver for Advection-Diffusion Equation solver using only Python☆12Feb 24, 2021Updated 5 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆34Oct 30, 2023Updated 2 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- ☆11Dec 9, 2020Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆15Dec 12, 2018Updated 7 years ago
- ☆20May 11, 2017Updated 8 years ago
- ☆16Jun 18, 2022Updated 3 years ago
- Multi Fidelity Monte Carlo☆25Feb 8, 2020Updated 6 years ago
- A simple, efficient, mass conservative approach to solving Richards’ Equation☆25Nov 16, 2025Updated 5 months ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- Codebase for the Poisson CNN paper☆12Jun 30, 2022Updated 3 years ago
- ☆26Oct 15, 2020Updated 5 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- ☆201Apr 3, 2025Updated last year
- Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields☆70Jun 8, 2021Updated 4 years ago
- Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).☆16Nov 12, 2019Updated 6 years ago
- Magnetic Field Prediction Using Generative Adversarial Networks☆11May 2, 2023Updated 2 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆421Mar 21, 2024Updated 2 years ago
- In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called …☆10Mar 4, 2021Updated 5 years ago