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3d-attention-keras

This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

ai-ffpe

Deep Learning-based Frozen Section to FFPE Translation

amazon_product_review_sentiment_analysis

Amazon product review sentiment analysis with Machine learning models and LSTM

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

autoencoders

Various autoencoders with ResNet, DenseNet and U-Net implementations, as well as VAE and GAN implementations.

biobombe

BioBombe: Sequentially compressed gene expression features enhances biological signatures

cbam-keras

CBAM implementation on Keras

cbam-tensorflow

CBAM implementation on TensowFlow

clam

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

classification-confidence-intervals

PyPI package to calculate comprehensive confidence intervals for classification positive rate, precision, NPV, and recall using a labeled sample via exact & approximate Frequentist & Bayesian setups.

classification_models_3d

Set of models for classifcation of 3D volumes

conditionallearntopayattention

costsensitive

(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

cytobrowser

CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images.

danet

Dual Attention Network for Scene Segmentation

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

deepathology

Tissue and Cancer Type Identification using Deep Neural Networks

deepic50

DeepIC50: Deep learning for predicting drug responsiveness based on the integration of genomic and drug features

efficientnet-pytorch-3d

A PyTorch implementation of EfficientNet

gdc-client

GDC Data Transfer Tool

graph-neural-networks-roadmap

he2rna_code

Train a model to predict gene expression from histology slides.

heart_disease_classifier

henorm_python

H&E histopathological staining normalization

histcnn

A set of codes to classify H&E slides using deep learning

histomicstk

A Python toolkit for pathology image analysis algorithms.

histoqc

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

histxtract

A pipeline for extracting nuclear morphometry features from whole-slide images.

keras-resnet3d

Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.