rezacsedu/PacktMLwithSpark

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Java
Created over 8 years ago
Updated about 8 years ago

rezacsedu/PacktMLwithSpark

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Deep-Learning-for-Clustering-in-Bioinformatics

Deep Learning-based Clustering Approaches for Bioinformatics

Jupyter Notebook

Drug-Drug-Interaction-Prediction

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

Jupyter Notebook

Classification_Benchmarks_Benglai_NLP

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

Jupyter Notebook

Multimodal-autoencoder-for-breast-cancer

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

Intrusion-Detection-Spark-Conv-LSTM

Intrusion detection system with Apache Spark and deep learning

Jupyter Notebook

Neural-Ensemble-Method-for-Cancer-Prediction

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

Jupyter Notebook

Bengali-Hate-Speech-Dataset

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

Convolutional-embedded-networks

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

DeepCOVIDExplainer

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

Jupyter Notebook

DeepHateExplainer

DeepHateExplainer

Jupyter Notebook

RandomForestSpark

OncoNetExplainer

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

Jupyter Notebook

Recent-Papers-Knowledge-Graph-Embeddings

Some recent papers on Knowledge Graph Embedding

XAI-for-bioinformatics

Explainable AI for Bioinformatics

Jupyter Notebook

ApacheLuceneDemo

Guided-Grad-Cam

Multimodal-Deep-Belief-Net-Breast-Cancer

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

OutlierDetectionUsingSpark2.0.0

2Stage-Big-Data-Analytics-SparkML-LSTM

Classification of Cardiac Arrhythmia and Indentifying Suspicious URLs with Spark ML and LSTM Networks

Multimodal-Hate-Bengali

TitanicSurvivalPredictionDataset

Titanic Survival Prediction Dataset

ApacheFlinkDemo

DeepKneeOAExplainer_

Explainable Knee Osteoarthritis Diagnosis from Radiographs & MRIs

Jupyter Notebook

SemanticRefreeCancer

Semantic Refree for Cancer Genomics

PHT_Train_Metadata

PHT_Train_Metadata

HypotheissTestingSpark

AnomalyWithR

FHIR_Resource_Generator

FHIR resource generator

HeartDiseasePredictionUsingSparkWithJava

TCGAModel

RDF_Rule_Mining_Horn

SemanticRobot

CSVtoLibSVMConverterinR

CSV to LibSVM converterin using R

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