Rezaul Karim, Ph.D. (rezacsedu)

rezacsedu

Geek Repo

Company:Staff Data Scientist, ALDI - Data & Analytics

Location:Aachen, Germany

Home Page:https://rezacsedu.github.io/

Twitter:@asifkarim85

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Rezaul Karim, Ph.D.'s repositories

Intrusion-Detection-Spark-Conv-LSTM

Intrusion detection system with Apache Spark and deep learning

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Multimodal-Deep-Belief-Net-Breast-Cancer

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

DL-based-Tumor-Classification

Deep Learning Based Tumor Type Classification Using Gene Expression Data

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AmpliGraph

Python library for Representation Learning on Knowledge Graphs

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Anomaly-Detection

Anomaly detection in Chest X-Ray scans

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DeepClustering

Deep Clustering

examples-Python

Analysis examples based on the ISB-CGC hosted TCGA data, using Python and IPython Notebooks.

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ICIAR2018-1

Our solution for ICIAR 2018 Grand Challenge

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MultimodalPrognosis

Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

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OpenKE

An Open-Source Package for Knowledge Embedding (KE)

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pancancer

Building classifiers using cancer transcriptomes across 33 different cancer-types

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SemanticRefreeCancer

Semantic Refree for Cancer Genomics

CrossE

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs (WSDM'2019)

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deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

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DeepKnee

Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

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FAIRDataPoint-Spec

Specification for the FAIR DataPoint

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GrEDeL

GrEDeL (Graph Embedding based Deep Learning) is a literature-based discovery framework which is mainly composed of 1) knowledge graph embedding method and 2) deep learning method.

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KEQA_WSDM19

Knowledge Graph Embedding Based Question Answering

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keras_attention

:bookmark: An Attention Layer in Keras

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NLP-Fake-News_detection

Implementation of a deep learning model that does fake news classification based on Liar-Liar Dataset

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PHT_FHIR_Demos_German_Initiative

Sample PHT implementations efforts from the PHT German team

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predCAN

Ontology-based prediction of cancer driver genes

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sematch

semantic similarity framework for knowledge graph

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SimplE

Implementation of SimplE Embedding for Link Prediction in Knowledge Graphs in PyTorch

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Small_datasets

Small_datasets

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TelecomChurn-Prediction

Consumer Behavior Analysis for Targeted Retention Initiatives in Telecom sector

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walking-rdf-and-owl

Feature learning over RDF data and OWL ontologies

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