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addlat2d

The purpose of AddLat2D is to create a dataset of 2D lattice cells based on a specified image size and list of density values. The final output is a CSV file with columns containing the arrays of the images, the 'Density’ value, and the respective 'Thickness’ values that define the shape, and a visualization of the data distribution.

ashe_model

branding

cisat-cpp

Implements the Cognitively-Inspired Simulated Annealing Teams algorithm.

cisat-rs

CISAT in Rust

cmudrc.github.io

This is where the hamsters live

design-automation-benchmark

drcutils

Python package with useful utilities for the lab

flowdatageneration

hammer_chuizi

hsat-cpp

Implements the Heterogeneous Simulated Annealing Teams algorithm.

llm-for-material-selection

This repository is created for the research done by the Design Research Collective and Autodesk Research

megaflow2d

The MegaFlow2D dataset package

multi-agent-robots

sae

SAE system design problem

sbce-simulator

search-engineering-design

sfinn

Stylized Facts Informed Neural Network

show-me-the-funding

Visualization tool for NSF research funding

tiamat

Timely Inpainting for Additive Manufacturing Analysis of Temperature (TIAMAT)

variational_autoencoder_interpolating_images_2

wanet

Deep networks for analysis and synthesis of offshore structures.