Jangseop Park's Projects
Density-based topology optimization via the deep energy method
A library for scientific machine learning and physics-informed learning
Config files for my GitHub profile.
Parallel solver for levelset topology optimization method with adaptive mesh refinement
Rewrite deepmind/meshgraphnets into pytorch
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"
Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A ResUNet is used in the trunk network to encode the variable input geometries, and a feed-forward neural network is used in the branch to encode the loading parameters.
A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural network in the trunk. The branch network efficiently encodes time-dependent input functions, and the trunk network captures the spatial dependence of the full-field data.
Smartthings Edge Driver
This repo implements a Stable Diffusion model in PyTorch with all the essential components.
Topology Optimization Laboratory
Code, technical details and links to datasets and trained models for TopoDiff
Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023