Raymvp
A curious student in causal inference，machine learning and health data science.
Southeast University
Pinned Repositories
lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
pytorch_geometric
Graph Neural Network Library for PyTorch
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
deep-recurrent-surv
An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
DeepAttnMISL
Contains codes of DeepAttnMISL in MEDIA'20
Multiple-instance-learning-with-graph-neural-networks
Multiple instance learning with graph neural networks.
Patch-GCN
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Pipeline-Processing-TCGA-Slides-for-MIL
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
Raymvp's Repositories
Raymvp/Pipeline-Processing-TCGA-Slides-for-MIL
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
Raymvp/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
Raymvp/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Raymvp/deep-recurrent-surv
An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
Raymvp/DeepAttnMISL
Contains codes of DeepAttnMISL in MEDIA'20
Raymvp/Multiple-instance-learning-with-graph-neural-networks
Multiple instance learning with graph neural networks.
Raymvp/Patch-GCN
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Raymvp/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法