DrJustinHodges's Stars
Mohamedelrefaie/DrivAerNet
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
SamitHuang/MLProject_CNN_CAE
ikespand/ml4db
ML4DB acronymed for Machine Learning for Dittus-Boelter equation, and it is a simple machine learning program (for teaching purpose) written in Python.
okada39/pinn_cavity
Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
rezaakb/pinns-tf2
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
Shengfeng233/PINN-for-turbulence
A pytorch implementation of several approaches using PINN to slove turbulent flow
muaz-urwa/PCA-vs-AutoEncoders
LLNL/gLaSDI
voila-dashboards/voila
Voilà turns Jupyter notebooks into standalone web applications
drgona/PIML_ACC2023
Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the American Control Conference 2023.
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
xiaoyuxie-vico/PyDimension
Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurements".
AndreWeiner/ml-cfd-lecture
Lecture material for machine learning applied to computational fluid mechanics
loliverhennigh/Computational-Fluid-Dynamics-Machine-Learning-Examples
This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.
thunil/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
wolny/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
dso-org/deep-symbolic-optimization
A deep learning framework for symbolic optimization.
agrija9/Convolutional-VAE-for-3D-Turbulence-Data
A Convolutional Variational Autoencoder (CVAE) for 3D CFD data reconstruction and generation.
samgregoost/Spectral-GAN
Project-MONAI/tutorials
MONAI Tutorials
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Saakaarb/Deep-Learning-for-Aerodynamic-Prediction
This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.
AndreWeiner/machine-learning-applied-to-cfd
Examples of how to use machine learning algorithms in computational fluid dynamics.
ikespand/awesome-machine-learning-fluid-mechanics
Curated list for ML in FM
Ceyron/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
abhishekkrthakur/colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
llSourcell/Make_Money_with_Tensorflow_2.0
This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval
PyFR/PyFR
PyFR
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
abhishekkrthakur/autoxgb
XGBoost + Optuna