NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, exposed to end-users in pure Python/NumPy.

The fastai book, published as Jupyter Notebooks

A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

✍️ A way to integrate LaTeX, VS Code, and Inkscape in macOS

Deep functional residue identification

A python module for scientific analysis of 3D data based on VTK and Numpy

Pure Julia Implementation of Geometrically Exact Beam Theory

Understanding Deep Learning - Simon J.D. Prince

The ultimate electric propulsion modeling and optimization module.

A hub for discovering optimal Deep Neural Network models by fine-tuning hyperparameters, specifically tailored for crafting an effective surrogate model in aircraft conceptual design.

OPEM (Open Source PEM Fuel Cell Simulation Tool)

Battery Systems Modeling in Python

Deep reinforcement learning to perform shape optimization

Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

Demonstration examples of the Deep Q Direct Torque Control algorithm for permanent magnet synchronous motors

The most impressive websites in the world use 3D graphics and animations to bring their content to life. Learn how to build your own ThreeJS 3D Developer Portfolio today!

➰ Create Bezier curves in Python [Mirror]

Supplementary resources for the textbook Engineering Design Optimization by Joaquim R. R. A. Martins and Andrew Ning

Materials for my Structural and Multidisciplinary Design Optimization course

Examples in Python about plotting and interpolating a B-spline curve and their comparison using Numpy, Scipy and Matplotlib.

Hands-On Optimization with Python

[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

A clean customizable documentation theme for Sphinx

Small scale machine learning projects to understand the core concepts

Files for the MSE2001 course Introduction to Python for Materials Engineers

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

500 AI Machine learning Deep learning Computer vision NLP Projects with code