IRT-SystemX / ml4physim_startingkitLinks
☆11Updated last year
Alternatives and similar repositories for ml4physim_startingkit
Users that are interested in ml4physim_startingkit are comparing it to the libraries listed below
Sorting:
- ☆55Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆76Updated last month
- ☆14Updated 3 years ago
- Bootcamp notebooks☆61Updated 4 months ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated 3 weeks ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆59Updated 4 years ago
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- Using NVIDIA modulus for airfoil optimizations at different angles.☆25Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆69Updated 2 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…☆15Updated 2 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Updated 2 years ago
- ☆29Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆57Updated 11 months ago
- ☆61Updated last year
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆34Updated 4 years ago
- Solving PDEs with NNs☆55Updated 2 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆161Updated this week
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆43Updated 7 years ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Updated 6 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆88Updated 4 months ago
- ☆63Updated 6 years ago
- Multi-fidelity reduced-order surrogate modeling☆28Updated 5 months ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆105Updated last year
- Easy Reduced Basis method☆91Updated last month