zhanghaoyue Goto Github PK

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

be224b

brats2018-tumor-segmentation

We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

camicroscope

Digital pathology image viewer with support for human/machine generated annotations and markups.

cavia

Code for "Fast Context Adaptation via Meta-Learning"

challenge

The repo for the FeTS Challenge

cvpr20_imcl

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

datadockercontainer

Dockerfile for the Data layer of caMicroscope. Installs Mongo, Bindaas and mounts appropriate directories from the file system.

db430

deep_learning_with_noisy_labels_literature

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

deeplearningfirstpasseffect

deepsurv.pytorch

deepzoom_purejs

dgx_management

DGX server management

dira

Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

dl_base_template

a pytorch template for classification, segmentation..

dynamicservices

efficientnet-pytorch-3d

A PyTorch implementation of EfficientNet

findapi

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

glandseg

codebase for prostate gland segmentation model

grails-guides

Repository for Guides to using Grails

grails-product

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

imageloader

APIs for loading whole slide images onto caMicroscope.

imageloader.py

Python utility that also does image loading. Used for large scale image loading where images are already available and all that is needed is to extract and store the metadata.

knowledgegraphdata

史上最大规模1.4亿中文知识图谱开源下载