Pinned Repositories
Attention-yolov5
AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
dataset-histology-landmarks
Dataset: landmarks for registration of histology images
deepcell-tf
Deep Learning Library for Single Cell Analysis
f-AnoGAN
Code for reproducing f-AnoGAN training and anomaly scoring
hact-net
HistomicsTK
A Python toolkit for pathology image analysis algorithms.
hover_net
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
liangzhendong123's Repositories
liangzhendong123/GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
liangzhendong123/OpenGlue
Open Source Graph Neural Net Based Pipeline for Image Matching
liangzhendong123/voxelmorph
Unsupervised Learning for Image Registration
liangzhendong123/ACROBAT
liangzhendong123/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.
liangzhendong123/SFG
Structural feature guided convolutional neural network for histological image registration
liangzhendong123/RegTR
End-to-end Point Cloud Correspondences with Transformers
liangzhendong123/tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
liangzhendong123/spatial-omics
A data container for spatial omics data
liangzhendong123/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
liangzhendong123/dgl
The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.
liangzhendong123/kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
liangzhendong123/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
liangzhendong123/histocartography
Histocartography is a framework bringing together AI and Digital Pathology
liangzhendong123/SlideGraph
liangzhendong123/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
liangzhendong123/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
liangzhendong123/Grassmannian_Fusion
liangzhendong123/MoNuSAC
This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.
liangzhendong123/google-research
Google Research
liangzhendong123/MSHIR
liangzhendong123/normalized_gradient_field_pytorch
pytorch implementation of registration metric Normalized Gradient Field
liangzhendong123/miso
:ramen: A tasty Haskell front-end framework
liangzhendong123/RMI
This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.
liangzhendong123/mifs
Parallelized Mutual Information based Feature Selection module.
liangzhendong123/Deformable-ConvNets
Deformable Convolutional Networks
liangzhendong123/pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.
liangzhendong123/SCF-Net
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation (CVPR2021)
liangzhendong123/hover_net
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
liangzhendong123/graphtransformer
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.