physics-guided neural networks (phygnn)
☆103May 2, 2026Updated this 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☆118Sep 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…☆17Updated this week
- GeoCLUSTER is a Python-based web application that provides a collection of interactive methods for streamlining the visualization of the …☆17Feb 15, 2026Updated 2 months ago
- Physics-guided Convolutional Neural Network☆73Oct 24, 2020Updated 5 years ago
- Python for subsurface applications☆26Jun 20, 2025Updated 10 months 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.
- 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
- ☆21Sep 28, 2020Updated 5 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
- 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
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆23Nov 8, 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.
- Project under CSF407 - AI☆13Jun 24, 2024Updated last year
- A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"☆15Mar 30, 2019Updated 7 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…☆131Apr 30, 2026Updated last week
- Python Wrapper for the System Advisor Model☆136May 1, 2026Updated last week
- The National Renewable Energy Laboratory Wind Analysis Libray (NRWAL)☆21Aug 13, 2025Updated 8 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
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 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 4 years ago
- Topological Data Analysis for Power System Contingencies☆11Sep 17, 2020Updated 5 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- ☆30Aug 14, 2024Updated last year
- Method for estimating icing losses from wind turbine SCADA data☆28Oct 15, 2024Updated last year
- ☆104Dec 22, 2019Updated 6 years ago
- ☆10May 29, 2024Updated last year
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Apr 14, 2023Updated 3 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.
- Dual mesh approach for solving phase field based brittle fracture problems☆13Jun 23, 2021Updated 4 years ago
- ADAPT is designed for the inverse parameter identification of constitutive material models using mathmatical optimisation. It is designed…☆20Aug 13, 2021Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Sep 30, 2021Updated 4 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic☆16Jun 27, 2023Updated 2 years ago
- Source codes for paper "Harnessing Machine Learning to Enhance Transition State Search with Interatomic Potentials and Generative Models"☆18Oct 23, 2025Updated 6 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago