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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

ggplot2

An implementation of the Grammar of Graphics in R

ggtree

:christmas_tree:Visualization and annotation of phylogenetic trees

gigassl

Repository for the Giga-SSL paper

gligen

google-research

Google Research

google_landmark_retrieval_2021_2nd_place_solution

grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

groupy

Group Equivariant Convolutional Neural Networks

h-denseunet

h2t

hanet

Official PyTorch implementation of HANet (CVPR 2020)

hatnet

SA-Diagnet: Self-attention-based network for diagnosing histopathological images

hcsc

[CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)

hemnet

A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues

henorm_python

H&E histopathological staining normalization

hhcl-reid

Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification

highres-net

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

histcode

Contrastive learning-based computational histopathology predict differential expression of cancer driver genes

histocartography

Histocartography is a framework bringing together AI and Digital Pathology

histofl

Federated Learning for Computational Pathology - Medical Image Analysis

histomicstk

A Python toolkit for pathology image analysis algorithms.

histopathologic_cancer_detection

Kaggle histopathologic cancer detection (playground) competition solution

hover_net

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

hpa-competition-solutions

Team original solutions for the Human Protein Atlas image classification competition

hrnet-image-classification

Train the HRNet model on ImageNet

hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

human_protein

11th place solution for Kaggle Human Protein Atlas Image Classification

humpback-whale-identification-1st-

https://www.kaggle.com/c/humpback-whale-identification