Discover rezacsedu/2Stage-Big-Data-Analytics-SparkML-LSTM Open Source

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

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Drug-Drug-Interaction-Prediction

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

Classification_Benchmarks_Benglai_NLP

Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data

Multimodal-autoencoder-for-breast-cancer

Intrusion detection system with Apache Spark and deep learning

Intrusion-Detection-Spark-Conv-LSTM

A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations

Neural-Ensemble-Method-for-Cancer-Prediction

Dataset for identifying potential hates (e.g., political, religious, personal, gender abusive, geopolitical, etc.) for under-resourced Bengali language.

Bengali-Hate-Speech-Dataset

Convolutional-embedded-networks

Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images

DeepCOVIDExplainer

DeepHateExplainer

RandomForestSpark

OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data

OncoNetExplainer

Some recent papers on Knowledge Graph Embedding

Recent-Papers-Knowledge-Graph-Embeddings

XAI-for-bioinformatics

Explainable AI for Bioinformatics

ApacheLuceneDemo

Guided-Grad-Cam

Multimodal deep belief networks for breast cancer subtype and subvival rate predictions

Multimodal-Deep-Belief-Net-Breast-Cancer

OutlierDetectionUsingSpark2.0.0

Multimodal-Hate-Bengali

Titanic Survival Prediction Dataset

TitanicSurvivalPredictionDataset

ApacheFlinkDemo

Explainable Knee Osteoarthritis Diagnosis from Radiographs & MRIs

DeepKneeOAExplainer_

PacktMLwithSpark

Semantic Refree for Cancer Genomics

SemanticRefreeCancer

PHT_Train_Metadata

HypotheissTestingSpark

AnomalyWithR

FHIR_Resource_Generator

FHIR resource generator

HeartDiseasePredictionUsingSparkWithJava

TCGAModel

RDF_Rule_Mining_Horn

SemanticRobot

CSV to LibSVM converterin using R

CSVtoLibSVMConverterinR

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