rezacsedu

RandomForestSpark

Mining-Maximal-Frequent-Pattern-Spark

Implementation of Static mining part of "Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach" Information Sciences, Volume 432, March 2018, Pages 278-300

TitanicSurvivalPredictionDataset

Titanic Survival Prediction Dataset

dist-keras

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Distributed-Deep-Learning

Code Repository for Distributed Deep Learning, published by Packt

MDNNMD

An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.

nih-chest-xray

Identifying diseases in chest X-rays using convolutional neural networks

nih-chest-xrays

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

Xvision

Chest Xray image analysis using Deep learning !

Binary-Classification-

Binary classification using convolutional autoencoder

Code-Mixed-Dialog

ddi-prediction

Repository accompanying the paper submitted to PLoS ONE.

DDI-recursive-NN

Fast-and-scalable-neural-embedding-models-for-biomedical-sentence-classification

GermanCreditRiskDataset

German Credit Risk Dataset in CSV format

Grad-CAM

:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

HAPI_FHIR_Server

Knowledge-Graph-Analysis-Programming-Exercises

Exercises for the Analysis of Knowledge Graphs

mnist_tsne

t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature

MultiChannel

Multi-channel LSTM-CNN model for Vietnamese sentiment analysis

museum-ml

Machine Learning using Python

natural-adversary

Generating Natural Adversarial Examples, ICLR 2018

OLS-graphview

Ontology visualisation widget for EBI's Ontology Lookup Service (OLS)

scania-trucks

Air pressure system failures in Scania trucks (https://www.kaggle.com/uciml/aps-failure-at-scania-trucks-data-set)

SR

Transfer-Learning-using-VGG16-in-Keras

Using VGG16 network trained on ImageNet for transfer learning and accuracy comparison

VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

vcare-models

Models used within the EU project vCare

vis-autoencoder-tsne

Autoencoder and t-SNE dim-reduction to visualize the MNIST dataset (and others)

x-rule

Explaining machine learning models using rules