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

COVID-CT

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

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Extraction-of-Adverse-Drug-Reaction-from-Unstructured-Data-using-Bidirectional-LSTM-Network

For this problem, we proposed the use of bidirectional-LSTM’s(Long Short Term Memory) with 1-D CNN layer to classify patient notes at character level and at word level. The 1-D CNN is employed to scale back the training time. In order to improve the performance, we will also feed the network combined word embedding consisting of Pre-trained word2vec 100 dimension word embedding trained on the Twitter ADR Dataset database and character embedding generated by a Char-CNN for Named Entity Recognition

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LA-DNN-for-COVID-19-diagnosis

Online COVID-19 diagnosis with chest CT images: Lesion-attention deep neural networks

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Multimodal-Meme-Classification-Identifying-Offensive-Content-in-Image-and-Text

Multimodal Meme Classification: Identifying Offensive Content in Image and Text

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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

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adversarial-training-survey

Papers, sites and slides for Adversarial Training

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art-images

Art Image Classification

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awesome-kgqa

A collection of some materials of knowledge graph question answering

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BanglaTranslator

Bangla Machine Translator

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clothing-dataset-small

Clothing dataset, 10 classes

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Clustering_wikipedia_articles

Clustering wikipedia articles

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COVID19-Literature-Clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and respond to rapidly spreading COVID-19 promptly.

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efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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examples

Examples and demos built with Jina that help you onboarding

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explainx

Explainable AI Framework for Data Scientists to Explain any Black-Box Model Behaviour to Business Stakeholders.

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explanation-ontology

Explanation Ontology Resource website

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fairlearn

A Python package to assess and improve fairness of machine learning models.

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haystack

:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...

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karateclub

A general purpose community detection and network embedding library for research built on NetworkX.

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melanoma-classification

:3rd_place_medal: (Bronze medal - 241st place - Top 8%) Repository for the "SIIM-ISIC Melanoma Classification" Kaggle competition.

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neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

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Privacy-Preserving-Machine-Learning

Privacy Preserving Machine Learning

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Pycaret_Streamlit_Insurance

Insurance price prediction (US) based on the model trained using pycaret regression analysis. This github repository is used to deploy this app in the Heroku through Streamlit framework.

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scibert

A BERT model for scientific text.

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Score-CAM

[CVPR 2020 Workshop] Official implementation of Score-CAM in Pytorch

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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