Mehedi Hasan's repositories

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awesome-portfolio-websites

A community maintained open source project aimed at making a personal portfolio for researchers, developers, and analysts simple, fast, and less cumbersome. We make sure you have a full-fledged website to showcase your work while you can spend time on your learning and innovative endeavors.

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BasicAutoML

This is a web app built using Flask framework, Scikit-learn and python. It can generate some basic machine learning model if it is provided with a pre-processed dataset (a csv file).

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Breast-Cancer

Breast Cancer Diagnosis Models Using PCA and Different Neural Network Architectures

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CompilerLab

Compiler Design Lab Code in C++/C

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ExamHall

ExamHall code and db

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Hackintosh-Dell-7567-OpenCore_Monterey

OpenCore 0.8.2 configuration for Dell Inspiron 15 Gaming 7567

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hit-the-bunny

This is a simple web based game created using HTML5, CSS3, PHP, Javascript, Jquery and Bootstrap.

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ImageCropManual

This code let's you crop manually, using mouse drag function only.

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JuktoMala

An augmented dataset for bengali handwritten compound conjuncts consisting of 293 classes

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learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

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mat2csv

Convert any .mat file (for matlab) to csv file which can be used in python or any other platform.

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mehedicseruet.github.io

My academic webpage

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Neural-Network

Lab Code for Neural Netwprk in python

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Numerical-Analyzer

This is an Android application. This application analyze various numerical methods. The algorithm used here are from Introductory Methods of Numerical Analysis by S.S. Sastry

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OnlineLab

Online lab of c programming language for CSE 1288 of MTE department using Jdoodle API.

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OpenGL

OpenGL lab code

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Sentiment-Analyzer

This is a sentiment analyzer web-app created using php. If the word is in database, the app will show positive, negative and neutral word percentage, else it will ask to contribute.

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Shoplifting-Detection-Through-Mediapipe-and-LSTM

A project that utilizes mediapipe to extract body landmarks data and trains that data using LSTM to predict whether a customer is shoplifting or not.

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