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2018dsb

2018 Data Science Bowl 2nd Place Solution

acd

Code for using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" https://arxiv.org/abs/1806.05337

asap

Program for the analysis and visualization of whole-slide images in digital pathology

bach2018

PYCON 2018 and BACH 2018 breast cancer histology challenge

camelyon

Reproduce the result of Camelyon16 HMS-MIT method1

camelyon-1

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

camelyon16-grand-challenge

Implementation of Camelyon'16 grand challenge

chrom3d

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

decagon

Graph convolutional neural network for multirelational link prediction

deep-convolutional-autoencoder

This is a tutorial on creating a deep convolutional autoencoder with tensorflow.

deep-histopath

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

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deepchem

Deep-learning models for Drug Discovery and Quantum Chemistry

deepdta

deepgo

Function prediction using a deep ontology-aware classifier

deeplearning.ai-andrewng

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

deeprotein

GitHub repository for "Leveraging Implicit Knowledge in Neural Networks for Functional Dissection and Engineering of Proteins"

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.

dhaka

dltk

Deep Learning Toolkit for Medical Image Analysis

dsb2017

The solution of team 'grt123' in DSB2017

dsb2017-1

Code for 2nd place solution to the 2017 National Data Science Bowl

expecto

fit-sne

Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

gatsby-starter-netlify-cms

gcn

Implementation of Graph Convolutional Networks in TensorFlow

google-research

Google AI Research

graphsage

Representation learning on large graphs using stochastic graph convolutions.

hello-world

hello-world