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breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

camelyon

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

camelyon16-grand-challenge

Implementation of Camelyon'16 grand challenge

catalyst-inria-segmentation-example

An example project showing the power of Catalyst for training segmentation model for Inria Sattelite Segmentation Challenge

clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

contrastive-classification-keras

Implementation of self-supervised image-level contrastive pretraining methods using Keras.

deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

deepattnmisl

Contains codes of DeepAttnMISL in MEDIA'20

deepkit-framework

The most advanced and fastest full-featured web framework for isomorphic and sophisticated TypeScript projects like complex admin or management interfaces, games, desktop and mobile apps.

deepkit-ml

The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.

deepkit-python-sdk

deeplearningcamelyon

DeepLearning - Camelyon16 dataset

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

ha-core

:house_with_garden: Open source home automation that puts local control and privacy first.

nmi-wsi-diagnosis

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

nuclick

Interactive Segmentation of Nucleus

pannuke-metrics

Evaluation code for the PanNuke dataset

parallelize-ml-inference

Sample code for parallelizing across multiple CPU/GPUs on a single machine to speed up deep learning inference

python-wsi-preprocessing

Python Whole Slide Image Preprocessing

pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

spdlog-cmake

sample cmake project with spdlog

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tf-semantic-segmentation

Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc

windows-cuda-container

Building docker image for building CUDA libraries on Windows