Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
☆119Sep 5, 2021Updated 5 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 7 years ago
- MATLAB toolbox for training and validating PGNN-based feedforward controllers.☆14Apr 13, 2023Updated 3 years ago
- physics-guided neural networks (phygnn)☆104Oct 27, 2026Updated last week
- An official 're'-implementation of Physics-induced graph neural network: An application to wind-farm power estimation (PGNN).☆30Jul 27, 2021Updated 5 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.
- A collection of implementations functions implementing variants of the triple collocation method☆11Nov 19, 2014Updated 11 years ago
- Code for implementing Extended Triple Collocation (ETC)☆12Feb 9, 2016Updated 10 years ago
- Decompose the variance contribution of different G*E*M factors on multiple APSIM model outputs☆12Jan 4, 2022Updated 4 years ago
- Theory-guided deep-learning load forecasting is a short-term load forecasting model that combines domain knowledge and machine learning a…☆36Mar 16, 2022Updated 4 years ago
- Ecosystem-scale transpiration stress formulation using deep learning☆12Aug 6, 2023Updated 3 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆14Jan 26, 2022Updated 4 years ago
- Code for neural network parameterization project☆19Nov 6, 2023Updated 3 years ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆12Apr 20, 2018Updated 8 years ago
- Calculate black-sky, white-sky, and actual albedo from MODIS MCD43A1 BRDF parameters product with custom solar zenith angle and solar opt…☆17Dec 19, 2018Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Code for the FiniteNet ICML Paper☆18Feb 7, 2020Updated 6 years ago
- TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.☆20Nov 11, 2021Updated 4 years ago
- ☆11Apr 13, 2021Updated 5 years ago
- ☆24Mar 28, 2023Updated 3 years ago
- some methods about automated thermography defects detection☆22Nov 16, 2023Updated 2 years ago
- A condition monitoring system for gas turbine, including refenrece value, anomaly detection, and fault diagnosis.☆34Oct 11, 2018Updated 8 years ago
- Data for PHM 2015 data challenge☆16Sep 2, 2016Updated 10 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,242Feb 11, 2026Updated 8 months ago
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆39Sep 9, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code and data for learning moving boundary physics using PDDO and Ensemble SINDy☆10Aug 20, 2023Updated 3 years ago
- 个人对论文“Interpretable and Efficient Beamforming-Based Deep Learning for Single Snapshot DOA Estimation”的复现☆13Mar 3, 2025Updated last year
- ☆65Aug 30, 2021Updated 5 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated 2 years ago
- Code for the paper titled "Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks" (NeurIPS…☆11Jan 7, 2022Updated 4 years ago
- ☆12May 28, 2025Updated last year
- Code for paper "Copula-based conformal prediction for Multi-Target Regression"☆33Apr 1, 2021Updated 5 years ago
- AI-driven Abaqus workbench: describe a model in a spec, get a real solved one back. Every capability is backed by a check you can run on …☆29Aug 31, 2026Updated 2 months ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆28Oct 21, 2018Updated 8 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.
- Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective☆11Nov 16, 2022Updated 3 years ago
- ☆11May 30, 2025Updated last year
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆19Jul 13, 2020Updated 6 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Mar 10, 2025Updated last year
- Efficient Matlab Implementation of Adaptive Mesh Coarsening in 2D☆14Sep 14, 2020Updated 6 years ago
- A phase field brittle fracture code coupled to a dummy place-holder FEniCS script providing material parameters☆14Mar 16, 2021Updated 5 years ago
- A step-by-step introduction to deep learning (a.k.a. neural network) models for scientists and engineers.☆13Aug 28, 2022Updated 4 years ago