Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation
☆23Nov 8, 2022Updated 3 years ago
Alternatives and similar repositories for BL-PINN
Users that are interested in BL-PINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆26Oct 15, 2020Updated 5 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Jun 19, 2024Updated last year
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆16Dec 21, 2021Updated 4 years ago
- ☆10Oct 31, 2021Updated 4 years ago
- PARADIS, a lightweight and flexible weather forecast model that tries to Keep It Simple.☆27Apr 8, 2026Updated last week
- 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.
- Project under CSF407 - AI☆13Jun 24, 2024Updated last year
- ☆14Dec 12, 2022Updated 3 years ago
- (Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.☆12Mar 16, 2026Updated last month
- An ILES kernel☆17Mar 8, 2024Updated 2 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆12Jul 15, 2025Updated 9 months ago
- CFD 2D solver with multi scheme.☆28Feb 21, 2020Updated 6 years ago
- PINN for obtaining WSS from sparse data☆73Feb 21, 2024Updated 2 years ago
- 2-D inviscid flow and adjoint solver☆14Mar 8, 2014Updated 12 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.
- A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"☆15Mar 30, 2019Updated 7 years ago
- Physics-Informed Neural Networks Trained with Particle Swarm Optimization☆28Sep 20, 2022Updated 3 years ago
- Airfoil Optimization by XFOIL Matlab☆12Mar 29, 2024Updated 2 years ago
- A study plan of CFD in aeronautics.☆58Apr 4, 2017Updated 9 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆58Nov 20, 2022Updated 3 years ago
- Research/development of physics-informed neural networks for dynamic systems☆33Nov 25, 2024Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆41May 12, 2022Updated 3 years ago
- Tool to estimate the hydropower potential of a run of the river site.☆24Apr 10, 2026Updated last week
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated 11 months 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.
- These are some of the tools I use almost every day for working with data and plotting.☆14Jan 9, 2026Updated 3 months ago
- Competitive Physics Informed Networks☆32Sep 21, 2024Updated last year
- A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.☆12Dec 12, 2022Updated 3 years ago
- Physics Informed Neural Network for solving 3D transient heat transfer☆14Apr 28, 2024Updated last year
- Physics-informed neural networks for two-phase flow problems☆77Oct 2, 2025Updated 6 months ago
- Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper "Physics-informed neura…☆37Jan 15, 2024Updated 2 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- ☆41Sep 11, 2023Updated 2 years ago
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆22Oct 12, 2021Updated 4 years 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.
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆96Aug 17, 2023Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆19Dec 6, 2024Updated last year
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Dec 15, 2023Updated 2 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆25May 9, 2021Updated 4 years ago
- Heat Equation FEM and PINN solver☆10Apr 24, 2022Updated 3 years ago
- A normalizing flow using Bernstein polynomials for conditional density estimation.☆18Oct 18, 2024Updated last year
- This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-19 semest…☆71May 27, 2025Updated 10 months ago