uta-smile

TCL

code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

TVT

Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation, WACV 2023

RetroXpert

DeepAttnMISL

Contains codes of DeepAttnMISL in MEDIA'20

SMILES-BERT

Awesome-Vision-Transformer-for-Domain-Adaptation-Transfer-Learning

Recent vision transformer-based domain adaptation papers

WSISA

Zhu, Xinliang, et al. "Wsisa: Making survival prediction from whole slide histopathological images." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017.

ASSUDA

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (ICCV 2021; Oral)

CD-MVGNN

HGCN

AAAI2015_Yeqing

PRIM

RetroComposer

beamer-theme

MICCAI17_DeepCorrLearning

This cotain codes for MICCAI'17 paper

robust_self_training

code for paper "Towards Robust Self-training for Molecular Prediction Tasks"

tensorflow-data-augmentation

Tensorflow data augmentation

GTE

GTE: A Graph Learning Framework for Prediction of T-cell Receptors and Epitopes Binding Specificity

MoDNA

Re-balanced-VAE

Code for paper Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation.

TransNuSS

Self-supervised Pre-training for Nuclei Segmentation, MICCAI 2022

CellSegDA

Adversarial Domain Adaptation for Cell Segmentation, MIDL 2020

jianTCellReceptorPeptideInteraction2022-slides

T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling (slides by Nasy, paper is not our work)

lab_challenge_23fall

lab_exp_2023s

SMILE lab experiments in 2023 spring.

models

Models and examples built with TensorFlow

nasy-lab-slides

Nasy Lab Slides.

nix-shell-collection

UTA SMILE lab nix shell collections

Seq2seq_fp

STGCN-IPMI19