The Informatics for Design, Engineering, And Learning (IDEAL) Lab's repositories
airfoil-opt-gan
Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"
bezier-gan
BĂ©zier Generative Adversarial Networks
IH-GAN_CMAME_2022
IH-GAN, data generation, and topology optimization code associated with our accepted CMAME 2022 paper: "IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures."
CEBGAN_JMD_2021
CEBGAN and airfoil optimization code associated with our accepted JMD 2021 paper: "Inverse Design of 2D Airfoils using Conditional Generative Models and Surrogate Log-Likelihoods."
design-data-list
A list of open-source or otherwise available datasets for various applications and papers within Mechanical Engineering as well as Design more broadly.
design_embeddings_jmd_2016
Experiment code associated with our JMD paper: "Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces"
ideallab.github.io
IDEAL Lab website repository
Active-Expansion-Sampling
Experiment code associated with our paper: "Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space"
OptimizingDiffusionSciTech2024
Dataset for the paper presented at SciTech 2024 "Optimizing Diffusion to Diffuse Optimal Designs"
domain_expansion_jmd_2017
Experiment code associated with our JMD paper: "Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space"
hgan_jmd_2019
Experiment code associated with our JMD 2019 paper: "Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks"
ranking_diversity_jmd_2017
Experiment code associated with JMD paper: "Ranking ideas for diversity and quality"
hgan_idetc2018
Experiment code associated with our IDETC 2018 paper: "Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks"
ID_Conduction_IDETC2022
Machine learning models and 2D heat sink topology optimization code associated with our accepted IDETC 2022 paper: "Mean Squared Error may lead you astray when Optimizing your Inverse Design methods."
JMD-Diversity-in-Bayesian-Optimization
Code to support the experiments published in "How Diverse Initial Samples Help and Hurt Bayesian Optimizers" in the Journal of Mechanical Design
Optimal_Airfoil_Geometry_IDETC2022
Machine learning models and 2D airfoil dimensionality reduction code associated with our accepted IDETC 2022 paper: "Effect of Optimal Geometries and Performance Parameters on Airfoil Latent Space Dimension."
design-variety
Experiment code and data associated with our IDETC paper titled "Measuring and Optimizing Design Variety using Herfindahl Index"
onlinematching
Experiment code associated with our JMD paper: "Forming Diverse Teams from Sequentially Arriving People"
d3-deadlines
:alarm_clock: AI conference deadline countdowns
dcc-deep-learning-workshop
GitHub site for DCC '18 Workshop on Learning Design Representations: Deep Learning and Beyond
Learn_to_compose_IDETC_2020
DeCNN, GNN, and pipe flow simulation code associated with our accepted IDETC 2020 paper: "Learning to Abstract and Compose Mechanical Device Function and Behavior."