elahehaghaarabi

ORCID

ORCID profiles data extraction through xml parsing

sentence_similarity

AN_course

Andrew Ng's deep learning course

BioSentVec

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Contextual-Embeddings

CV

GD

Gradient Descent Optimizer is implemented to compare AdaGrad and Robbins Monro learning rates.

language_model_tokenizers

A simple and brief implementation of various LLM tokenizers is provided.

Data-Visualization

DataStructure

Detecting-Parkinsons

elahehaa.github.io

elahehaghaarabi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

facenet

Face recognition using Tensorflow

Hypothesis-testing

IMDB_SA

Sentiment Analysis of IMDB reviews using LR, Naive Bayes and SVC

Introduction-to-Data-Science-in-Python

Coursera | Introduction to Data Science in Python（University of Michigan）

JavaApplication

A Java application is developed and connects to a database to manage food orders, bills, employee information and timesheet for a food truck business.

machine-learning

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

NLP-based_recommender

NLU

Portfolio-Django

publication_classifier

A multi_class publication classifier is developed in PyTorch to classify PubMed publications into four different categories, Group Randomized Trial (GRT), Individually Randomized Group Treatment Trials (IRGT), Stepped Wedge Group-Randomized Trial (SWGRT) and negative classes. PubMedBERT model is fine-tuned using historical data to fit the data.

RandomizedTrial_Classifier

recommender

Sorting

superhero_analysis

text_classification

all kinds of text classification models and more with deep learning

text_clustering

Titanic_data_analysis