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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

chemistga

combat-seq

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

combat.py

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

dbit-seq_ffpe

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

deepst

Identify spatial domain

drugex

De Novo Drug Design with RNNs and Transformers

dsmil-code

this is the reproduced code of dsmil method

dsmil-wsi

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

dtfd-mil

dtfdmil-code

this is the reproduced code of dtfd method.

e2efp-mil

gpt2_zinc_87m

GPT2 language model trained on 480 SMILES from ZINC

histopathology-stain-color-normalization

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

hover_net

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

momo-master

paddlehelix

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

protac-rl

recurrent_transformer

release

Deep Reinforcement Learning for de-novo Drug Design

slidegraph

tea-graph

First commit

tiatoolbox

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

transmil

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

transmil-code

This is the reproduced code of TransMIL.