rezacsedu
Data Science, Applied ML, MLOps, LLMs
Staff Data Scientist, ALDI - Data & AnalyticsAachen, Germany
Pinned Repositories
Bengali-Hate-Speech-Dataset
Dataset for identifying potential hates (e.g., political, religious, personal, gender abusive, geopolitical, etc.) for under-resourced Bengali language.
Classification_Benchmarks_Benglai_NLP
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
Deep-Learning-for-Clustering-in-Bioinformatics
Deep Learning-based Clustering Approaches for Bioinformatics
DeepKneeOAExplainer_
Explainable Knee Osteoarthritis Diagnosis from Radiographs & MRIs
Drug-Drug-Interaction-Prediction
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Multimodal-autoencoder-for-breast-cancer
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
Neural-Ensemble-Method-for-Cancer-Prediction
A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations
OncoNetExplainer
OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data
rezacsedu.github.io
XAI-for-bioinformatics
Explainable AI for Bioinformatics
rezacsedu's Repositories
rezacsedu/RandomForestSpark
rezacsedu/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
rezacsedu/TitanicSurvivalPredictionDataset
Titanic Survival Prediction Dataset
rezacsedu/dist-keras
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
rezacsedu/Distributed-Deep-Learning
Code Repository for Distributed Deep Learning, published by Packt
rezacsedu/MDNNMD
An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.
rezacsedu/nih-chest-xray
Identifying diseases in chest X-rays using convolutional neural networks
rezacsedu/nih-chest-xrays
A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
rezacsedu/Xvision
Chest Xray image analysis using Deep learning !
rezacsedu/Binary-Classification-
Binary classification using convolutional autoencoder
rezacsedu/Code-Mixed-Dialog
rezacsedu/ddi-prediction
Repository accompanying the paper submitted to PLoS ONE.
rezacsedu/DDI-recursive-NN
rezacsedu/Fast-and-scalable-neural-embedding-models-for-biomedical-sentence-classification
rezacsedu/GermanCreditRiskDataset
German Credit Risk Dataset in CSV format
rezacsedu/Grad-CAM
:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo
rezacsedu/HAPI_FHIR_Server
rezacsedu/Knowledge-Graph-Analysis-Programming-Exercises
Exercises for the Analysis of Knowledge Graphs
rezacsedu/mnist_tsne
t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
rezacsedu/MultiChannel
Multi-channel LSTM-CNN model for Vietnamese sentiment analysis
rezacsedu/museum-ml
Machine Learning using Python
rezacsedu/natural-adversary
Generating Natural Adversarial Examples, ICLR 2018
rezacsedu/OLS-graphview
Ontology visualisation widget for EBI's Ontology Lookup Service (OLS)
rezacsedu/scania-trucks
Air pressure system failures in Scania trucks (https://www.kaggle.com/uciml/aps-failure-at-scania-trucks-data-set)
rezacsedu/SR
rezacsedu/Transfer-Learning-using-VGG16-in-Keras
Using VGG16 network trained on ImageNet for transfer learning and accuracy comparison
rezacsedu/VaDE
Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
rezacsedu/vcare-models
Models used within the EU project vCare
rezacsedu/vis-autoencoder-tsne
Autoencoder and t-SNE dim-reduction to visualize the MNIST dataset (and others)
rezacsedu/x-rule
Explaining machine learning models using rules