Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm
☆34Jun 2, 2023Updated 3 years ago
Alternatives and similar repositories for Adaptive-optimization-of-PINN
Users that are interested in Adaptive-optimization-of-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:
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 5 years ago
- ☆14Aug 22, 2025Updated 11 months ago
- ☆15Dec 13, 2022Updated 3 years ago
- PINN_Platform_Backend☆11Dec 6, 2023Updated 2 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆34Aug 11, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Training neural networks to disentangle conservative and dissipative dynamics☆14Jan 27, 2022Updated 4 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆107Oct 24, 2022Updated 3 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- ☆14Jul 4, 2022Updated 4 years ago
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Mar 20, 2024Updated 2 years ago
- ☆12Jan 23, 2024Updated 2 years ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Nov 18, 2020Updated 5 years ago
- a novel framework based on a physics-informed neural network dubbed as PhysCon that combines the interpretable ability of physical laws a…☆16Jan 4, 2023Updated 3 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
- 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.
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆42Apr 14, 2023Updated 3 years ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆13Nov 23, 2025Updated 8 months ago
- Data-guided physics-informed neural networks☆18Jul 16, 2024Updated 2 years ago
- ☆15Mar 13, 2026Updated 4 months ago
- ☆19Apr 5, 2024Updated 2 years ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆50Sep 21, 2022Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆77Sep 11, 2025Updated 10 months 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
- ☆16Oct 29, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Multiphysics coupling master code☆14Aug 5, 2018Updated 7 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆16Jun 10, 2023Updated 3 years ago
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- Open-source tool to get a pre-trained deep learning model for solar forecasting purposes☆19Mar 13, 2025Updated last year
- Decentralized Deep Learning Approach for Lithium-Ion Batteries State of Health Forecasting Using Federated Learning.☆25Jan 16, 2024Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆44Sep 18, 2022Updated 3 years ago
- This work develops a simple energy management algorithm for a residential hybrid system consisting of PV, battery storage, unreliable gri…☆21Jul 29, 2024Updated 2 years ago
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆29May 17, 2024Updated 2 years ago
- Heat Equation FEM and PINN solver☆11Apr 24, 2022Updated 4 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.
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Jul 27, 2022Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆22Mar 25, 2023Updated 3 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆24Aug 3, 2023Updated 2 years ago
- Open-source, Finite element method, Electromagnetics, Multi-physics modeling, Multi-phase modeling, Uncertainty quantification (UQ), Opti…☆14Oct 8, 2021Updated 4 years ago
- ☆21Sep 28, 2020Updated 5 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆40Nov 20, 2024Updated last year
- ☆10Jun 28, 2022Updated 4 years ago