Muhammad Mubashirullah Durrani's repositories

Tweets-Sentiment-Analysis

Sentiment Analysis of Tweets related to Vaccine.

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diplab04

Connected Component Labelling

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corda-blockchain-voting

An AP semester project where voting is implemented in the Corda block-chain

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cracking-the-coding-interview

Solutions to interview questions from the book. You will find questions commented before my attempted solutions.

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diplab07

Sharpening Spatial filtering using Laplacian Filter

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nlppreprocess

Ready made function for NLP preprocessing

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Pollard-p1

A project that finds the two prime factors of a public key.

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PorterStemmer

Implementing the porter stemmer algorithm in python 3 by reading the document on it.

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HTTP-file-downloader-

In this project we build an HTTP file downloader in python without using high level libraries, that supports resuming and multiple simultaneous connections.

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POS-HMM

Hidden Markov Model for Part of Speech Tagging

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chakra-ui-docs

Documentation website for chakra ui

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collectingTweets

Collecting archived tweets related to vaccines using tweepy

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dayjs-website

⏰Day.js website repo

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diplab05

Horizontal Gradient of an Image

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diplab06

Histogram Equalization

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diplab08

Histogram Equalization in 3 ways

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diplab09

Spatial filtering

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docs

🤔Everything you wanted to know about Supervisely

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install-sql-ledger

Ansible-based installation of SQL-Ledger (Network community version)

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lightGallery

A customizable, modular, responsive, lightbox gallery plugin.

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react-audio-recorder

An audio recording helper for React. Provides a component and a hook to help with audio recording.

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react-course-part2-finish

This repository contains the completed code for the second part of the React course.

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rmac

Run my Accounts - Community Version

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serverless

This is intended to be a repo containing all of the official AWS Serverless architecture patterns built with CDK for developers to use. All patterns come in Typescript and Python with the exported CloudFormation also included.

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sharpening-filter

Laplacian filter to be used on road dataset to reduce blur

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