Pinned Repositories
BMO-GNN
DeepEnergy-TopOpt
Density-based topology optimization via the deep energy method
deepxde
A library for scientific machine learning and physics-informed learning
Graph_DEM
iFEM
Interactive FEM Course
ImprovedDeepONets
Jangseop-Park
Config files for my GitHub profile.
meshgraphnets_pytorch
Rewrite deepmind/meshgraphnets into pytorch
Point-DeepONet
SG-DeepONet
jangseop-park's Repositories
jangseop-park/Point-DeepONet
jangseop-park/meshgraphnets_pytorch
Rewrite deepmind/meshgraphnets into pytorch
jangseop-park/SG-DeepONet
jangseop-park/DeepEnergy-TopOpt
Density-based topology optimization via the deep energy method
jangseop-park/deepxde
A library for scientific machine learning and physics-informed learning
jangseop-park/Graph_DEM
jangseop-park/iFEM
Interactive FEM Course
jangseop-park/ImprovedDeepONets
jangseop-park/Jangseop-Park
Config files for my GitHub profile.
jangseop-park/jangseop-park.github.io
jangseop-park/letop
jangseop-park/Levelset_AdaptiveMesh
Parallel solver for levelset topology optimization method with adaptive mesh refinement
jangseop-park/modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
jangseop-park/MVTN
pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"
jangseop-park/Neural-PDE-Solver
jangseop-park/OpenLSTO
jangseop-park/ResUNet-DeepONet-Plasticity
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.
jangseop-park/S-DeepONet
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.
jangseop-park/smartthings_edge_driver
Smartthings Edge Driver
jangseop-park/StableDiffusion-PyTorch
This repo implements a Stable Diffusion model in PyTorch with all the essential components.
jangseop-park/Swan
Topology Optimization Laboratory
jangseop-park/topodiff
Code, technical details and links to datasets and trained models for TopoDiff
jangseop-park/TopologyGAN
jangseop-park/TOuNN
jangseop-park/trajectory-alignment-diffusion
Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023