The Informatics for Design, Engineering, And Learning (IDEAL) Lab (@IDEALLab)
Guthub

IDEALLab

Twitter logo Share LinkedIn logo Share Facebook logo Share

Top repositories

1

airfoil-opt-gan

Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"
Python
56
star
2

bezier-gan

BΓ©zier Generative Adversarial Networks
Python
37
star
3

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."
MATLAB
20
star
4

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.
8
star
5

design_embeddings_jmd_2016

Experiment code associated with our JMD paper: "Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces"
Python
7
star
6

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."
Jupyter Notebook
7
star
7

ideallab.github.io

IDEAL Lab website repository
HTML
5
star
8

OptimizingDiffusionSciTech2024

Dataset for the paper presented at SciTech 2024 "Optimizing Diffusion to Diffuse Optimal Designs"
Jupyter Notebook
5
star
9

midbench

The Maryland Inverse Design Benchmark Suite
Python
4
star
10

Active-Expansion-Sampling

Experiment code associated with our paper: "Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space"
Python
4
star
11

design_method_recommendation_JMD_2014

Experiment code for our 2014 Journal of Mechanical Design paper - "Machine Learning Algorithms for Recommending Design Methods"
Python
3
star
12

ranking_diversity_jmd_2017

Experiment code associated with JMD paper: "Ranking ideas for diversity and quality"
MATLAB
2
star
13

domain_expansion_jmd_2017

Experiment code associated with our JMD paper: "Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space"
Python
2
star
14

hcdconnect_case_data

Raw data files for several research experiments that use HCD Connect Case study data
2
star
15

airfoil-interpolation

Python
2
star
16

hgan_jmd_2019

Experiment code associated with our JMD 2019 paper: "Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks"
Python
2
star
17

openideo_network_data

Raw data files for several research experiments that use OI design network data
Python
1
star
18

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."
Python
1
star
19

EGAN_Airfoil

Jupyter Notebook
1
star
20

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."
Jupyter Notebook
1
star
21

mechprocessor

Codebase for the Mechprocessor library
1
star
22

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
Python
1
star
23

Least_Volume_ICLR2024

Jupyter Notebook
1
star
24

hgan_idetc2018

Experiment code associated with our IDETC 2018 paper: "Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks"
Python
1
star