Xiaohan Xing's repositories
WCE-SOTA-methods
Tensorflow implementations of state-of-the-art WCE classification algorithms
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
covid19_critically_ill
Trained model and inference code for early triage of critically-ill COVID-19 patients.
hathawayxxh.github.io
Xiaohan Xing's homepage
fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
HKD
Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"
HSA-NRL
Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
HUMUS-Net
HUMUS-Net: a Transformer-convolutional Hybrid Unrolled Multi-Scale Network architecture for accelerated MRI reconstruction
hyp_metric
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
hyperbolic-image-embeddings
Supplementary code for the paper "Hyperbolic Image Embeddings".
manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
MINet
【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
Reading-List-in-2018
Reading list on deep learning
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
scaden
Deep Learning based cell composition analysis with Scaden.
tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf