generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search

Last update: Sep 21, 2022

Overview

generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search

This repository contains single-threaded TreeMesh code. I'm Hua Tong, a senior student at University of Science and Technology of China, majoring in Theoretical and Applied Mechanics.

This is a long-term on-going project. New updates will be written here (e.g. .eps files, .pdf reports).

Paper draft link (arXiv): https://arxiv.org/abs/2111.07613

Present performance:

Pentagonal plate: 0.9096 (5.2047% better than ABAQUS: 0.8646, 1.3708% better than FreeMesh-S: 0.8973)

Seed-density-changing rectangle: 0.8011 (13.8573% better than ABAQUS: 0.7036)

Owner

Hua Tong

LMBD,USTC

GitHub Repository

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generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search

Related tags

Overview

generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search

Owner

Hua Tong

PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambiguation for Partial Label Learning

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

Image reconstruction done with untrained neural networks.

code associated with ACL 2021 DExperts paper

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This implementation contains the application of GPlearn's symbolic transformer on a commodity futures sector of the financial market.

Fashion Landmark Estimation with HRNet

Preparation material for Dropbox interviews

Code repo for "Transformer on a Diet" paper

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[ACM MM2021] MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification

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ManiSkill-Learn is a framework for training agents on SAPIEN Open-Source Manipulation Skill Challenge (ManiSkill Challenge), a large-scale learning-from-demonstrations benchmark for object manipulation.