raycaohmu

AlphaPatho

attention-sampling

This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using attention-sampling

attention-sampling-pytorch

This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".

CarDEC_Codes

CGC-Net

cell graph convolutional network

DSMIL-code

this is the reproduced code of dsmil method

DTFDMIL-code

this is the reproduced code of dtfd method.

E2EFP-MIL

ReLeaSE

Deep Reinforcement Learning for de-novo Drug Design

TransMIL-code

This is the reproduced code of TransMIL.

raycaohmu/E2EFP-MIL

raycaohmu/AlphaPatho

raycaohmu/DSMIL-code

this is the reproduced code of dsmil method

raycaohmu/DTFDMIL-code

this is the reproduced code of dtfd method.

raycaohmu/ReLeaSE

Deep Reinforcement Learning for de-novo Drug Design

raycaohmu/TransMIL-code

This is the reproduced code of TransMIL.

raycaohmu/attention-sampling

This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using attention-sampling

raycaohmu/attention-sampling-pytorch

This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".

raycaohmu/CarDEC_Codes

raycaohmu/CGC-Net

cell graph convolutional network

raycaohmu/ChemistGA

raycaohmu/ComBat-seq

Batch effect adjustment based on negative binomial regression for RNA sequencing count data

raycaohmu/combat.py

python / numpy / pandas / patsy version of ComBat for removing batch effects.

raycaohmu/DBiT-seq_FFPE

This repository aims to share the R codes used in Spatial_FFPE project

raycaohmu/DeepST

Identify spatial domain

raycaohmu/DrugEx

De Novo Drug Design with RNNs and Transformers

raycaohmu/dsmil-wsi

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

raycaohmu/DTFD-MIL

raycaohmu/gpt2_zinc_87m

GPT2 language model trained on 480 SMILES from ZINC

raycaohmu/Histopathology-Stain-Color-Normalization

Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images

raycaohmu/hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

raycaohmu/MOMO-master

raycaohmu/PaddleHelix

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

raycaohmu/PROTAC-RL

raycaohmu/recurrent_transformer

raycaohmu/SlideGraph

raycaohmu/TEA-graph

First commit

raycaohmu/tiatoolbox

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

raycaohmu/TransMIL

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification