Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
☆117Sep 5, 2021Updated 4 years ago
Alternatives and similar repositories for PGNN
Users that are interested in PGNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"☆15Mar 30, 2019Updated 7 years ago
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆25Oct 17, 2019Updated 6 years ago
- MATLAB toolbox for training and validating PGNN-based feedforward controllers.☆14Apr 13, 2023Updated 3 years ago
- physics-guided neural networks (phygnn)☆104Jun 3, 2026Updated 2 weeks ago
- ☆19Feb 3, 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.
- Physics-guided Convolutional Neural Network☆73Oct 24, 2020Updated 5 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Jan 26, 2022Updated 4 years ago
- Code for implementing Extended Triple Collocation (ETC)☆12Feb 9, 2016Updated 10 years ago
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆17Dec 21, 2021Updated 4 years ago
- Theory-guided deep-learning load forecasting is a short-term load forecasting model that combines domain knowledge and machine learning a…☆35Mar 16, 2022Updated 4 years ago
- Causality-structured LSTM (source code of "Causality-Structured Deep Learning for Soil Moisture Predictions", Journal of Hydrometeorology…☆23Oct 3, 2022Updated 3 years ago
- TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.☆20Nov 11, 2021Updated 4 years ago
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Jun 23, 2021Updated 4 years ago
- ☆33Oct 28, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for the FiniteNet ICML Paper☆18Feb 7, 2020Updated 6 years ago
- some methods about automated thermography defects detection☆21Nov 16, 2023Updated 2 years ago
- A condition monitoring system for gas turbine, including refenrece value, anomaly detection, and fault diagnosis.☆35Oct 11, 2018Updated 7 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- ☆65Aug 30, 2021Updated 4 years ago
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method☆65Jun 21, 2022Updated 3 years ago
- ☆24Sep 10, 2020Updated 5 years ago
- 基于LabVIEW，可由故障齿轮箱振动信号生成时域图、频谱图、倒频谱图和包络谱图☆16Jun 25, 2020Updated 5 years ago
- Prediction of turbulent heat transfer using convolutional neural networks (CNNs)☆22Jan 22, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆18Jan 9, 2022Updated 4 years ago
- Dynamic obstacle avoidance using MPC☆10Jun 23, 2021Updated 4 years ago
- Sample Code Sinppets for Abaqus and Machine Learning Projects☆13Feb 21, 2023Updated 3 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,939Feb 11, 2026Updated 4 months ago
- Introduction to Machine Learning in R☆26May 7, 2021Updated 5 years ago
- Physics-informed neural networks for the Richardson-Richards equation☆32Sep 17, 2020Updated 5 years ago
- Solver for kinematic wave and Saint-Venant equations - Staggered scheme☆15Jan 29, 2017Updated 9 years ago
- A step-by-step introduction to deep learning (a.k.a. neural network) models for scientists and engineers.☆13Aug 28, 2022Updated 3 years ago
- ☆12Jul 17, 2023Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆14May 14, 2024Updated 2 years ago
- TE data diagnosis using pytorch☆20Mar 18, 2019Updated 7 years ago
- Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective☆11Nov 16, 2022Updated 3 years ago
- ☆24Sep 29, 2021Updated 4 years ago
- Matlab command-line functions for supporting Simulink model comparison☆15Apr 3, 2022Updated 4 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Mar 10, 2025Updated last year
- Meta Transfer Learning for Lake Temperature Prediction☆22Apr 22, 2021Updated 5 years ago