Burgers equation solved by PINN in PyTorch
☆25Oct 1, 2021Updated 4 years ago
Alternatives and similar repositories for PINN-Burgers
Users that are interested in PINN-Burgers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆27May 17, 2024Updated last year
- ☆25Dec 21, 2023Updated 2 years ago
- An implementation of the axisymmetric semi-analytical finite element method☆13Mar 27, 2018Updated 8 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆19Dec 6, 2024Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆15May 27, 2024Updated last year
- 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.
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆13Apr 15, 2023Updated 3 years ago
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 2 years ago
- A Warp Drive for Neural PDE Solvers☆27Mar 7, 2026Updated last month
- ☆10Sep 11, 2019Updated 6 years ago
- Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis☆17Nov 2, 2023Updated 2 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Apr 14, 2023Updated 3 years ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆19May 5, 2024Updated last year
- ☆11Jan 5, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Physics informed neural network (PINN) for the 1D Heat equation☆23Nov 9, 2023Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Sep 12, 2021Updated 4 years ago
- ☆13Feb 2, 2025Updated last year
- Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…☆10Nov 17, 2021Updated 4 years ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆32Dec 3, 2025Updated 4 months ago
- Learning Stochastic Dynamics with Statistics-Informed Neural Network☆12Sep 19, 2022Updated 3 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Feb 10, 2022Updated 4 years ago
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆86Aug 13, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Solving Burgers equation using Python☆13May 26, 2020Updated 5 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆19Jul 28, 2022Updated 3 years ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆72Apr 11, 2026Updated last week
- This repository holds all the documents related to the workshop conducted at I2M Bordeaux in September 2024.☆17Apr 3, 2026Updated 2 weeks ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆41Jun 24, 2022Updated 3 years ago
- This repository contains supplementary material for the paper: "Audio Source Separation Using Variational Autoencoders and Weak Class Sup…☆11Jan 10, 2023Updated 3 years ago
- ☆20Apr 9, 2026Updated last week
- Physics Informed Neural Network (PINN) for Burgers' equation.☆75Aug 21, 2024Updated last year
- This is the official implementation of "CoPINN: Cognitive Physics-informed Neural Network" (ICML 2025, Spotlight)☆21Apr 11, 2026Updated last week
- 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.
- A code based on the Finite Volume Method discretisation of Navier-Stokes equations for simulation of compressible shear layer☆16Oct 17, 2018Updated 7 years ago
- Basic tutorials of supervised, unsupervised, and reinforcement learning☆26May 5, 2022Updated 3 years ago
- GPUCorrel : A GPU accelerated Digital Image Correlation Software written in Python. To cite this Original Software Publication: https://w…☆11Sep 9, 2021Updated 4 years ago
- Persian for LaTeX, using XeTeX☆10Feb 20, 2022Updated 4 years ago
- Interface for using finite elements in inverse problems with complex domains☆32Apr 10, 2026Updated last week
- ☆24Aug 19, 2025Updated 7 months ago
- A finite element package in python.☆29Mar 17, 2026Updated last month