physics-guided neural networks (phygnn)
☆104May 18, 2026Updated last week
Alternatives and similar repositories for phygnn
Users that are interested in phygnn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆116Sep 5, 2021Updated 4 years ago
- INFRA-COMPASS is a tool that leverages Large Language Models (LLMs) to create and maintain an inventory of state and local codes and ordi…☆17May 23, 2026Updated last week
- GeoCLUSTER is a Python-based web application that provides a collection of interactive methods for streamlining the visualization of the …☆17Feb 15, 2026Updated 3 months ago
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆24Oct 17, 2019Updated 6 years ago
- Physics-guided Convolutional Neural Network☆74Oct 24, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Python for subsurface applications☆26Jun 20, 2025Updated 11 months ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 3 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆20May 3, 2024Updated 2 years ago
- How to fine tune the DOI record on Zenodo☆14Feb 2, 2024Updated 2 years ago
- Implementation of a regression capsule network for use in li-ion battery RUL☆10Nov 17, 2022Updated 3 years ago
- This project is for paper " PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-ion Battery …☆10Apr 17, 2024Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 4 years ago
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆24Sep 5, 2024Updated last year
- Langmuir is a Monte Carlo charge dynamics simulation engine for organic semiconductors, including FETs and solar cells☆14Apr 29, 2016Updated 10 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.
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆23Nov 8, 2022Updated 3 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 4 years ago
- a novel framework based on a physics-informed neural network dubbed as PhysCon that combines the interpretable ability of physical laws a…☆15Jan 4, 2023Updated 3 years ago
- Gaussian Process emulators in Python☆18Feb 21, 2019Updated 7 years ago
- The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolutio…☆131May 16, 2026Updated last week
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- The National Renewable Energy Laboratory Wind Analysis Libray (NRWAL)☆21Aug 13, 2025Updated 9 months ago
- This repository gives the codes for numerical solver independent seismic wave simulation using Task-decomposed Physics-informed Neural Ne…☆25Sep 22, 2023Updated 2 years ago
- ☆30Oct 12, 2020Updated 5 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.
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Nov 8, 2021Updated 4 years ago
- Jupyter Notebooks for the Course Python for Data Science and Machine Learning Bootcamp by Jose Portilla on Udemy.☆16May 14, 2021Updated 5 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- Method for estimating icing losses from wind turbine SCADA data☆28Updated this week
- ☆105Dec 22, 2019Updated 6 years ago
- ☆20Dec 22, 2025Updated 5 months ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Apr 14, 2023Updated 3 years ago
- Dual mesh approach for solving phase field based brittle fracture problems