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    • FinDeR

      Public
      Website repository for the Frontiers in Design Representation Summer School
      SCSS
      MIT License
      1000Updated Jul 9, 2024Jul 9, 2024
    • 0000Updated Jul 4, 2024Jul 4, 2024
    • IDEAL Lab website repository
      HTML
      10500Updated Jun 19, 2024Jun 19, 2024
    • Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"
      Python
      MIT License
      235802Updated Jun 18, 2024Jun 18, 2024
    • Jupyter Notebook
      Other
      0100Updated May 28, 2024May 28, 2024
    • Dataset for the paper presented at SciTech 2024 "Optimizing Diffusion to Diffuse Optimal Designs"
      Jupyter Notebook
      0500Updated Jan 30, 2024Jan 30, 2024
    • Code to support the experiments published in "How Diverse Initial Samples Help and Hurt Bayesian Optimizers" in the Journal of Mechanical Design
      Python
      MIT License
      1100Updated Jul 8, 2023Jul 8, 2023
    • ⏰ AI conference deadline countdowns
      HTML
      MIT License
      961000Updated May 16, 2023May 16, 2023
    • 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
      1100Updated Aug 26, 2022Aug 26, 2022
    • midbench

      Public
      The Maryland Inverse Design Benchmark Suite
      Python
      MIT License
      1400Updated Aug 22, 2022Aug 22, 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
      MIT License
      51920Updated Jul 22, 2022Jul 22, 2022
    • 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
      0100Updated Jun 29, 2022Jun 29, 2022
    • 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
      MIT License
      5700Updated Jan 5, 2022Jan 5, 2022
    • Jupyter Notebook
      0100Updated Oct 27, 2021Oct 27, 2021
    • DeCNN, GNN, and pipe flow simulation code associated with our accepted IDETC 2020 paper: "Learning to Abstract and Compose Mechanical Device Function and Behavior."
      Python
      MIT License
      0000Updated Oct 5, 2021Oct 5, 2021
    • G2SAT

      Public
      G2SAT: Learning to Generate SAT Formulas
      Python
      MIT License
      11000Updated May 10, 2021May 10, 2021
    • GRAN

      Public
      Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
      C++
      MIT License
      97000Updated Apr 12, 2021Apr 12, 2021
    • Bézier Generative Adversarial Networks
      Python
      MIT License
      213780Updated Dec 25, 2020Dec 25, 2020
    • A list of open-source or otherwise available datasets for various applications and papers within Mechanical Engineering as well as Design more broadly.
      1800Updated Feb 21, 2020Feb 21, 2020
    • Experiment code associated with our JMD paper: "Forming Diverse Teams from Sequentially Arriving People"
      0000Updated Jan 23, 2020Jan 23, 2020
    • Python
      MIT License
      4200Updated Nov 14, 2019Nov 14, 2019
    • Experiment code associated with our JMD 2019 paper: "Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks"
      Python
      MIT License
      1200Updated Sep 16, 2019Sep 16, 2019
    • Experiment code associated with our IDETC 2018 paper: "Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks"
      Python
      MIT License
      1100Updated Jun 21, 2019Jun 21, 2019
    • Experiment code and data associated with our IDETC paper titled "Measuring and Optimizing Design Variety using Herfindahl Index"
      1000Updated May 26, 2019May 26, 2019
    • Experiment code associated with our paper: "Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space"
      Python
      MIT License
      5400Updated Nov 2, 2018Nov 2, 2018
    • idea_map

      Public
      Experiment code associated with our JMD paper: "Unpacking subjective creativity ratings: Using triplet queries to find idea maps"
      MATLAB
      1000Updated Oct 17, 2018Oct 17, 2018
    • Experiment code associated with our JMD paper: "Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces"
      Python
      MIT License
      3700Updated Aug 31, 2018Aug 31, 2018
    • GitHub site for DCC '18 Workshop on Learning Design Representations: Deep Learning and Beyond
      0000Updated Apr 27, 2018Apr 27, 2018
    • Experiment code associated with our JMD paper: "Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space"
      Python
      MIT License
      3200Updated Jan 16, 2018Jan 16, 2018
    • bisonet

      Public
      Dataset for paper titled ''Creative Exploration Using Topic Based Bisociative Networks''
      0000Updated Jan 10, 2018Jan 10, 2018