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dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dl-kidneyhistologicprimitives

Deep Learning for Kidney Histologic Primitives (U-Net implementation in PyTorch)

dsmil-wsi

DSMIL: Multiple instance learning networks for tumor detection in Whole Slide Image

dtoolai

Dtool AI reproducible AI library

easierpath

tool for labeling medical images

embedding-comparator

exact

An open source online platform for collaborative image labeling of almost everything

facets

Visualizations for machine learning datasets

fast-dawid-skene

Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018

fish

Fast and Scalable Image Search for Histology

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

h-ai-l

A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)

high-dimensional-inspector

Scalable analysis of large high-dimensional data

histocat

Histology Topography Cytometry Analysis Toolbox

histolab

Library for Digital Pathology Image Processing

histomicstk

A Python toolkit for pathology image analysis algorithms.

histoqc

HistoQC is an open-source quality control tool for digital pathology slides

history-of-interpretation

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

how-to-read-pytorch

Quick, visual, principled introduction to pytorch code through five colab notebooks.

icevision

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

imacyte

ImaCytE is an interactive tool for data-driven exploration of Imaging Mass Cytometry data as presented in the paper "ImaCytE: Visual Exploration of Cellular Micro-environments for Imaging Mass Cytometry Data".

imgaug

Image augmentation for machine learning experiments.

istr

ISTR: End-to-End Instance Segmentation with Transformers (https://arxiv.org/abs/2105.00637)

jmbayes

Joint Models for Longitudinal and Survival Data using MCMC

keras-tuner

Hyperparameter tuning for humans

kidney_transplant

lime

Lime: Explaining the predictions of any machine learning classifier

mi-claim

A community repository for MI_CLAIM (Minimum Information for CLinical AI Modeling) reporting standards

mifto

Multiplex Immunoflouresence Titration Optimization (mIFTO) R Package

mil-pathology