[TAFFC-2022] PyTorch implementation of TSception v2
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Updated
Oct 2, 2023 - Python
[TAFFC-2022] PyTorch implementation of TSception v2
A Multi-Scale Model for Coupling Strands with Shear-Dependent Liquid
Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer https://ieeexplore.ieee.org/document/10006398
Macro-micro heat conduction using partitioned coupling
Multi-scale and non-invasive multi-model coupling combining Iso-Geometric and Finite Element Analysis
ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa
Repository to set up automatically computer vision models for researchers. Currently supports image classification models and fine-tuning for select task.
This is a project developed by our team as part of Physicell Workshop and Hackathon 2021.
A PyTorch implementation of a Multi-Scale Vision Transformer (ViT) for 3D medical image classification using the OrganMNIST3D dataset. This project explores multi-scale attention mechanisms to enhance classification performance in volumetric medical imaging.
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