A workshop on writing good scientific code: reproducible, re-traceable, readable, extendable, and well-documented.

Differentiable Finite Element Method with JAX

codes for "Universal Functional Regression with Neural Operator Flows"

EasyFEA is a user-friendly Python library that simplifies finite element analysis.

Discrete vortex panel method

"Deep Generative Modeling": Introductory Examples

Codes for the Finite Element Class for students of Structures and Materials at ISAE - SUPAERO

FEniCSx-based topology optimization supporting parallel computing

Conversational agents for engineering simulations with minimal human input using Microsoft AutoGen & GPT-4o.

An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification

Physics Informed Neural Network solution for a 2nd order differential equation w/ forcing function

Python Image Displacement Identification

Artificial Intelligence Research for Science (AIRS)

Structured and interractive Multi-fidelity Bayesian optimization

An Intuitive Tutorial to Gaussian Processes Regression

High-Performance Symbolic Regression in Python and Julia

A Python library for assessing the Ballistic Limit Of Spacecraft Structures Under Micrometeoroid and orbital debris impact

Python library for parallel multiobjective simulation optimization

Constrained Bayesian Optimization of Computationally Expensive Grey-Box (Hybrid First-Principles and Data-Driven) Models

An autoML framework & toolkit for machine learning on graphs.

A Streamlit app for generating 3D model of the UAV wing console

Python Library for Generalized Gaussian Process Modeling

Collaborative book for CS249r: Tiny Machine Learning