Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forceasting"
☆37Sep 9, 2025Updated 6 months ago
Alternatives and similar repositories for physics-informed-autoencoders
Users that are interested in physics-informed-autoencoders are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multi-head attention network for airfoil flow field prediction☆17Sep 13, 2022Updated 3 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆17May 14, 2021Updated 4 years ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆35Jan 22, 2022Updated 4 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 years ago
- Multi-task physics-informed neural networks☆25Oct 29, 2022Updated 3 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
- Code to train a Multiple-Input Fourier Neural Operator (MIFNO) to predict the solution of 3D source-dependent Partial Differential Equati…☆12Jan 11, 2026Updated 2 months ago
- Explainability of Brain Tumour Segmentation Models☆15Mar 24, 2023Updated 3 years ago
- CNN model to predict the lift-drag ratio of airfoil☆18Feb 28, 2021Updated 5 years ago
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆13May 18, 2020Updated 5 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Nov 9, 2024Updated last year
- Data preprocess method on Physics-informed neural networks☆28Feb 21, 2025Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated last year
- A 30-minute showcase on the how and the why of neural differential equations.☆13Apr 3, 2024Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆27Sep 7, 2023Updated 2 years ago
- ☆49Feb 13, 2026Updated last month
- ☆32Jan 27, 2020Updated 6 years ago
- Paper List of Physics-Informed Neural Network (PINN)☆59Mar 2, 2026Updated 3 weeks ago
- ☆21Dec 8, 2022Updated 3 years ago
- ☆24Jan 7, 2026Updated 2 months ago
- ☆42May 8, 2020Updated 5 years ago
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch☆21Nov 15, 2023Updated 2 years ago
- HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction☆12Nov 23, 2023Updated 2 years ago
- ☆11Jul 15, 2024Updated last year
- Transformers for modeling physical systems☆148Aug 4, 2023Updated 2 years ago
- City Simulator, Digital twin of a city in Unity 3D☆14Feb 17, 2022Updated 4 years ago
- Primary repository for distributed dispatches software tools☆16Sep 12, 2024Updated last year
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Feb 27, 2021Updated 5 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- PyTorch Implementation of Variational Recurrent Autoencoder☆12Sep 10, 2018Updated 7 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆69May 8, 2022Updated 3 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆121Sep 24, 2025Updated 6 months ago
- Algorithms for identifying coherent structures in sparse and noisy trajectory datasets☆16Oct 22, 2021Updated 4 years ago
- Physics-informed neural networks☆16Nov 26, 2020Updated 5 years ago
- LSTM_MPC(reactive distillation system)☆11Jul 21, 2020Updated 5 years ago
- Differentiable Physics-informed Graph Networks☆67Feb 20, 2020Updated 6 years ago
- TorchFEM: Another Finite Element Package...in PyTorch☆17Apr 19, 2024Updated last year
- ☆12May 16, 2023Updated 2 years ago