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Stars
Official git repository of Elmer FEM software
Curated list of some open-source codes for turbulent flow simulations, including turbulent multiphase, turbulent reacting flows, turbulent convection and turbulent atmospheric physics.
3D Navier Stokes Solver using 5th Order WENO and Upwind
Three-Dimensional Mixed-Element Unstructured Finite-Volume Solver for Compressible Euler/Navier-Stokes Equations
Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.
Machine Learning Course, Sharif University of Technology
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
Deep learning for Engineers - Physics Informed Deep Learning
A pytorch implementation of several approaches using PINN to slove turbulent flow
parallel PINNs; RANS equations; spatiotemporal parallel; PINNs
This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data through deep-learning-strengthened proper orthogonal decomposition"
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Deep Learning of Turbulent Scalar Mixing
Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Solve mass spring damper system with phyics-informed neural networks in MATLAB
Solve Partial Differential Equation (PDE) with deepxde library.
Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).
Physics-Informed Neural Networks for solving PDEs (bachelor project)
A library for scientific machine learning and physics-informed learning
A parallel framework for deep learning
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
A curated list of awesome Machine Learning projects in Fluid Dynamics