☆15May 11, 2020Updated 6 years ago
Alternatives and similar repositories for PDPINN
Users that are interested in PDPINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆16May 2, 2022Updated 4 years ago
- ☆12Jan 6, 2023Updated 3 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- ☆11Mar 24, 2021Updated 5 years ago
- ☆20Sep 22, 2025Updated 8 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆91Aug 26, 2025Updated 8 months ago
- Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems☆10Mar 20, 2021Updated 5 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆44Feb 1, 2023Updated 3 years ago
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆25Aug 2, 2021Updated 4 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Jan 13, 2021Updated 5 years ago
- ☆37Feb 13, 2022Updated 4 years ago
- POD-PINN code and manuscript☆59Nov 10, 2024Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Developing controller firmware for inverter-based microgrids.☆12Dec 12, 2018Updated 7 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.
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Feb 27, 2021Updated 5 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- ☆260Oct 14, 2021Updated 4 years ago
- ☆104Dec 22, 2019Updated 6 years ago
- SIMBa☆14Feb 14, 2025Updated last year
- This repository contains the data set and simulation files of the paper "Sufficient conditions for robust frequency stability of ac power…☆11Dec 22, 2020Updated 5 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆15Jun 27, 2025Updated 10 months ago
- ☆12Sep 15, 2021Updated 4 years ago
- Companion code to the paper "Transient Stability of Droop-Controlled Inverter Networks with Operating Constraints".☆11Aug 27, 2020Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Dec 4, 2019Updated 6 years ago
- ☆61Jun 9, 2021Updated 4 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- The Probabilistic Grid Reliability Analysis with Energy Storage Systems (ProGRESS) software is a Python-based open-source tool for assess…☆22Updated this week
- Estimating power system inertia using convolutional neural network☆12Dec 13, 2020Updated 5 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- Tutorial on Benders decomposition and acceleration techniques☆17May 23, 2023Updated 3 years ago
- Learning image compressed sensing with sub-pixel convolutional generative adversarial network☆10Sep 16, 2019Updated 6 years ago
- ☆113Oct 16, 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.
- Short-time Fourier transform (STFT) for JAX☆15Dec 20, 2021Updated 4 years ago
- Benchmarking building automation and control systems☆17Feb 13, 2023Updated 3 years ago
- Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.☆18Aug 19, 2023Updated 2 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆40Dec 28, 2018Updated 7 years ago
- Functional algorithms - definitions and implementations☆13Oct 17, 2025Updated 7 months ago
- A planning and operation tool for Resilient Microgrids☆14Apr 17, 2026Updated last month
- Fully quantized Neural Networks for Audio Source Separation☆16Aug 11, 2024Updated last year