liangzhendong123's repositories
BCSS
Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083
Deformable-ConvNets
Deformable Convolutional Networks
dgl
The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.
google-research
Google Research
GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
graphtransformer
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
histocartography
Histocartography is a framework bringing together AI and Digital Pathology
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
mifs
Parallelized Mutual Information based Feature Selection module.
miso
:ramen: A tasty Haskell front-end framework
MoNuSAC
This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.
normalized_gradient_field_pytorch
pytorch implementation of registration metric Normalized Gradient Field
OpenGlue
Open Source Graph Neural Net Based Pipeline for Image Matching
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.
RegTR
End-to-end Point Cloud Correspondences with Transformers
RMI
This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.
SCF-Net
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation (CVPR2021)
SFG
Structural feature guided convolutional neural network for histological image registration
SOAPdenovo-Trans
SOAPdenovo-Trans, a de novo transcriptome assembler designed specifically for RNA-Seq. We evaluated its performance on transcriptome datasets from rice and mouse.
spatial-omics
A data container for spatial omics data
tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
voxelmorph
Unsupervised Learning for Image Registration