Arun Ghosh (arunghosh)

arunghosh

Geek Repo

Company:Agreefy

Location:Kochi, India

Home Page:https://being-paradox.com/

Github PK Tool:Github PK Tool

Arun Ghosh's repositories

react-pin-input

React PIN / OTP input component

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react-grid-heatmap

A react component for heatmap visualisation in grid layout

react-heatmap-grid

A react component for heatmap visualisation in grid layout

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react-time-line

A react component to display event in a vertical timeline format

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react-sequence

React component which can aid navigation between set of react components

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django-boilerplate

Boilerplate for Django with Autentication

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webpack-react-lib-starter

A boilerplate for creating react component using webpack

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nxd-journal

🤖 Web application that on top of LLMs which helps user to manage todos and reminders

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react-chat-busy-indicator

React component for busy indication in chat using hooks

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arunghosh

Config files for my GitHub profile.

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create-react-boilerplate

Steps to create a react boilerplate

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dotfiles

dotfiles

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express-mongoose-es6-rest-api

:collision: A boilerplate application for building RESTful APIs Microservice in Node.js using express and mongoose in ES6 with code coverage and JsonWebToken Authentication

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fb-stock-chatbot

Facebook chatbot to get stock related information

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gatsby-starter-delog

A blog for designers and developer, built with Gatsby and Netlfiy CMS. Live demo https://delog-w3layouts.netlify.com/

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kiteconnectjs

The official NodeJs client library for the Kite Connect trading APIs

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my-reads

React project for the final assessment project for Udacity's React Fundamentals course.

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nestjs-realworld-example-app

Exemplary real world backend API built with NestJS + TypeORM

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personal-blog

Personal blog built using Gatsby

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rails-polymophic-approval

Approval workflow using Rails polymorphic relation

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rails-polymophic-relation

rails-polymophic-relation

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react-native-navigation-redux-helpers

Redux actions and reducers for React Native experimental navigation

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Sentiment-Analysis-Twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

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