Boosting the training of physics informed neural networks with transfer learning
☆27Jun 5, 2021Updated 5 years ago
Alternatives and similar repositories for TL-PINNs
Users that are interested in TL-PINNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆34Jun 2, 2023Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆30May 8, 2023Updated 3 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…☆13Nov 17, 2019Updated 6 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆15Dec 13, 2022Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆28Sep 30, 2021Updated 4 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- Multi-task physics-informed neural networks☆25Oct 29, 2022Updated 3 years ago
- SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud to…☆13Feb 10, 2023Updated 3 years ago
- A Hands-on Introduction to Physics-Informed Neural Networks☆20Apr 30, 2025Updated last year
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- POD-PINN code and manuscript☆61Nov 10, 2024Updated last year
- An automatic knowledge embedding framework for scientific machine learning☆23May 15, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆10Mar 31, 2021Updated 5 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆13Apr 11, 2024Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆51Mar 24, 2022Updated 4 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆82Feb 1, 2023Updated 3 years ago
- ☆76Nov 15, 2022Updated 3 years ago
- A Python package for helping to compute input arrays to DISORT.☆21Jul 8, 2025Updated last year
- 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
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- GUI for MNPBEM with extended functionality☆15Jun 7, 2022Updated 4 years ago
- A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materi…☆11Apr 3, 2023Updated 3 years ago
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆156Jan 28, 2024Updated 2 years ago
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆25Oct 17, 2019Updated 6 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Apr 22, 2021Updated 5 years ago
- Physics Informed Neural Network (PINN) for a projectile motion.☆14Jul 16, 2020Updated 6 years ago
- Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation☆13Jan 24, 2024Updated 2 years ago
- Physics-informed neural networks with hard constraints for inverse design☆162Nov 21, 2021Updated 4 years ago
- ☆39Nov 20, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This repository contains codes related to our work on physics-guided machine learning.☆15Jan 13, 2022Updated 4 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆266Nov 30, 2023Updated 2 years ago
- A 30-minute showcase on the how and the why of neural differential equations.☆14Apr 3, 2024Updated 2 years ago
- Pure Julia implementation of the finite difference frequency domain (FDFD) method for electromagnetics☆39Jan 1, 2021Updated 5 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆42Apr 14, 2023Updated 3 years ago
- ☆16Oct 25, 2021Updated 4 years ago
- ☆41Jun 17, 2022Updated 4 years ago