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Hello my name is Rakha Asyrofi, I come from Surabaya, East Java, Indonesia, Now, I'm waiting for my enrollment as Doctoral Student in National Central University (NCU). I have master's degree in Institut Teknologi Sepuluh Nopember (ITS) and bachelor's applied science degree in Electronic Engineer from Politeknik Elektronika Negeri Surabaya (PENS).

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You need to know what i'am ☺️

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What i've learned:point_down:!

My Technical Posters

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I have done many things so many things using several platform. If you want to know more you should check out this details portofolio. Currently I am available to work as freelance full stack coder, if you need something..

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You need to know what i've done ☺️

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And also, there is several attributes and updates. I've been doing several times ago, I hope you will enjoy with my article and updates. What supposed I do. Thank you..

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That's it all about my portofolio and several personilazation what I've done so far. Than you for your attention.. more stars, more fun

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Rakha Asyrofi's Projects

cnn-relation-extraction icon cnn-relation-extraction

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

code icon code

Compilation of R and Python programming codes

computerscience icon computerscience

Free tech resources for faculty, students, and dev advocates for use in computer science courses, workshops, and hackathons.

corenlp icon corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cqg icon cqg

The codes for ACL2022 paper “CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation

crcnn icon crcnn

Classifying Relations by Ranking with Convolutional Neural Networks

ddi_ontology_nlp icon ddi_ontology_nlp

Combine machine learning and knowledge representation to facilitate the process of assessing evidence from studies of drug-drug interaction by using an existing ontology of evidence types (e.g. DDI clinical trials vs. pharmacokinetic trials), as the backbone to develop a series of classifiers that categorize a DDI study’s evidence type based on its textual characteristics.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

djangodeployment icon djangodeployment

django Deployement Berikut ini contoh deployment menggunakan flask Yang dilakukan dari source ini dilakukan proses: Templates & Database Forms & Validation package structure Login auth, password reset, & user account posts & pagination Blueprints & error pages deployements

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