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

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    39 repositories

    • OptimizingDiffusionSciTech2024

      Public
      Dataset for the paper presented at SciTech 2024 "Optimizing Diffusion to Diffuse Optimal Designs"
      Jupyter Notebook
      •0•5•0•0•Updated Dec 3, 2024Dec 3, 2024

    • FinDeR

      Public
      Website repository for the Frontiers in Design Representation Summer School
      SCSS
      •
      MIT License
      •1•0•0•0•Updated Jul 9, 2024Jul 9, 2024

    • JMD_MSE_ID

      Public
      0•1•0•0•Updated Jul 4, 2024Jul 4, 2024

    • ideallab.github.io

      Public
      IDEAL Lab website repository
      HTML
      •10•5•0•0•Updated Jun 19, 2024Jun 19, 2024

    • airfoil-opt-gan

      Public
      Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"
      Python
      •
      MIT License
      •25•63•0•2•Updated Jun 18, 2024Jun 18, 2024

    • Least_Volume_ICLR2024

      Public
      Jupyter Notebook
      •
      Other
      •0•2•0•0•Updated May 28, 2024May 28, 2024

    • JMD-Diversity-in-Bayesian-Optimization

      Public
      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
      •1•1•0•0•Updated Jul 8, 2023Jul 8, 2023

    • d3-deadlines

      Public
      ⏰ AI conference deadline countdowns
      HTML
      •
      MIT License
      •991•0•0•0•Updated May 16, 2023May 16, 2023

    • Optimal_Airfoil_Geometry_IDETC2022

      Public
      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•1•0•0•Updated Aug 26, 2022Aug 26, 2022

    • midbench

      Public
      The Maryland Inverse Design Benchmark Suite
      Python
      •
      MIT License
      •1•4•0•0•Updated Aug 22, 2022Aug 22, 2022

    • IH-GAN_CMAME_2022

      Public
      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
      •5•22•2•0•Updated Jul 22, 2022Jul 22, 2022

    • ID_Conduction_IDETC2022

      Public
      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
      •0•2•0•0•Updated Jun 29, 2022Jun 29, 2022

    • CEBGAN_JMD_2021

      Public
      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
      •5•7•0•0•Updated Jan 5, 2022Jan 5, 2022

    • EGAN_Airfoil

      Public
      Jupyter Notebook
      •0•1•0•0•Updated Oct 27, 2021Oct 27, 2021

    • Learn_to_compose_IDETC_2020

      Public
      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
      •0•0•0•0•Updated Oct 5, 2021Oct 5, 2021

    • G2SAT

      Public
      G2SAT: Learning to Generate SAT Formulas
      Python
      •
      MIT License
      •11•0•0•0•Updated 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
      •97•0•0•0•Updated Apr 12, 2021Apr 12, 2021

    • bezier-gan

      Public
      Bézier Generative Adversarial Networks
      Python
      •
      MIT License
      •24•40•8•0•Updated Dec 25, 2020Dec 25, 2020

    • design-data-list

      Public
      A list of open-source or otherwise available datasets for various applications and papers within Mechanical Engineering as well as Design more broadly.
      1•8•0•0•Updated Feb 21, 2020Feb 21, 2020

    • onlinematching

      Public
      Experiment code associated with our JMD paper: "Forming Diverse Teams from Sequentially Arriving People"
      0•0•0•0•Updated Jan 23, 2020Jan 23, 2020

    • airfoil-interpolation

      Public
      Python
      •
      MIT License
      •4•2•0•0•Updated Nov 14, 2019Nov 14, 2019

    • hgan_jmd_2019

      Public
      Experiment code associated with our JMD 2019 paper: "Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks"
      Python
      •
      MIT License
      •1•2•0•0•Updated Sep 16, 2019Sep 16, 2019

    • hgan_idetc2018

      Public
      Experiment code associated with our IDETC 2018 paper: "Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks"
      Python
      •
      MIT License
      •1•1•0•0•Updated Jun 21, 2019Jun 21, 2019

    • design-variety

      Public
      Experiment code and data associated with our IDETC paper titled "Measuring and Optimizing Design Variety using Herfindahl Index"
      1•0•0•0•Updated May 26, 2019May 26, 2019

    • Active-Expansion-Sampling

      Public
      Experiment code associated with our paper: "Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space"
      Python
      •
      MIT License
      •5•4•0•0•Updated 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
      •1•0•0•0•Updated Oct 17, 2018Oct 17, 2018

    • design_embeddings_jmd_2016

      Public
      Experiment code associated with our JMD paper: "Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces"
      Python
      •
      MIT License
      •3•7•0•0•Updated Aug 31, 2018Aug 31, 2018

    • dcc-deep-learning-workshop

      Public
      GitHub site for DCC '18 Workshop on Learning Design Representations: Deep Learning and Beyond
      0•0•0•0•Updated Apr 27, 2018Apr 27, 2018

    • domain_expansion_jmd_2017

      Public
      Experiment code associated with our JMD paper: "Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space"
      Python
      •
      MIT License
      •3•2•0•0•Updated Jan 16, 2018Jan 16, 2018

    • bisonet

      Public
      Dataset for paper titled ''Creative Exploration Using Topic Based Bisociative Networks''
      0•0•0•0•Updated Jan 10, 2018Jan 10, 2018