Pinned Repositories
Disaster-Response-Project
In the Project Workspace, you'll find a data set containing real messages that were sent during disaster events. I had created a machine learning pipeline to categorize these events so that you can send the messages to an appropriate disaster relief agency. This project includes a web app where an emergency worker can input a new message and get classification results in several categories. The web app also displays visualizations of the data.
Face-Generator
In this project, I have used generative adversarial networks to generate new images of faces.
Generate-TV-Scripts
In this project, I have generated my own Seinfeld TV scripts using RNNs. You'll be using a Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new, "fake" TV script.
granite-ravi-jyoti
neeto-ui-challenge
Don't reinvent the wheel for every new Rails project. Use sane Defaults.
scribble-by-ravi-jyoti
ravijyoti3's Repositories
ravijyoti3/Disaster-Response-Project
In the Project Workspace, you'll find a data set containing real messages that were sent during disaster events. I had created a machine learning pipeline to categorize these events so that you can send the messages to an appropriate disaster relief agency. This project includes a web app where an emergency worker can input a new message and get classification results in several categories. The web app also displays visualizations of the data.
ravijyoti3/Face-Generator
In this project, I have used generative adversarial networks to generate new images of faces.
ravijyoti3/Generate-TV-Scripts
In this project, I have generated my own Seinfeld TV scripts using RNNs. You'll be using a Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new, "fake" TV script.
ravijyoti3/30-Days-of-Code
👨💻 30 Days of Code by HackerRank Solutions in C++, C#, F#, Go, Java, Python, Ruby, Swift & TypeScript. PRs Welcome! 😄
ravijyoti3/appsmith-docs
Mirror of documentation at https://docs.appsmith.com. Raise Pull requests against this repository to update the documentation
ravijyoti3/Data-Structures-Algorithms-Hacktoberfest-2K19
collection of data structures and algorithms in different languages - created by the community during Hacktoberfest 2019
ravijyoti3/dhishna-demo
ravijyoti3/DSA
Implementations of various data structures and algorithms.
ravijyoti3/Group-chat-app
Test app built using flutter for group chat.
ravijyoti3/Hack-Day-2019
An event organised by GNU/Linux Users' Group, NIT Durgapur. Visit
ravijyoti3/hackoctoberfest19_for_newcommers
An intro to hackoctoberfest and opensource
ravijyoti3/hacktoberfest-2018
ravijyoti3/Hacktoberfest-2018-Lets-Build-a-website-together
Build a plain white website similar to Elon Musk's The Boring Company -> https://www.boringcompany.com
ravijyoti3/Hacktoberfest19
Hacktoberfest guide and getting started
ravijyoti3/hacktoberfest19-first-timer
:rocket: :sparkles: Help beginners to contribute to open source projects
ravijyoti3/hacktoberfest2019
We're creating a web site for hacktoberfest. Everybody can join.
ravijyoti3/HacktoberFest_19
This repository aims to cater to all users from beginners to advanced in this Hacktober'19. Everyone will surely have a take away form this. Happy Hacktober !!
ravijyoti3/happy_hacktoberfest_19
A fun website built to celebrate open source collaboration. Go ahead and create something!
ravijyoti3/Hello-Hacktoberfest2k19
It is a repo in which anyone can contribute for a Hacktober Fest 2k19. It is starter repository in which you can start your open-source journey.
ravijyoti3/MERN-stack
Full stack development learning repository
ravijyoti3/Predicting-Bike-Sharing-Patterns
In this project, I build a neural network from scratch to carry out a prediction problem on a real dataset! By building a neural network from the ground up, you'll have a much better understanding of gradient descent, backpropagation, and other concepts that are important to know before we move to higher-level tools such as PyTorch. You'll also get to see how to apply these networks to solve real prediction problems! The data comes from the UCI Machine Learning Database.
ravijyoti3/react-otp-input
:heavy_check_mark: OTP Input Component for React
ravijyoti3/Reboot_kerala
We have developed a website and an android application where registered and certified tourism service providers can register themselves to attract tourists and promote their business by posting services for the tourists.
ravijyoti3/sn-webpages
UI layer for the sensenet ECM platform built using ASP.NET pages, webparts and controls.
ravijyoti3/StackOverflow-Survey-2017
I have used data from StackOverflow 2017 Annual Developers Survey, to get a closer look at the questions. This survey conducted on many developers and contains over 64,000 reviews, from all over the world.
ravijyoti3/SuperTinyIcons
Under 1KB each! Super Tiny Icons are miniscule SVG versions of your favourite website and app logos
ravijyoti3/test
git test
ravijyoti3/tinkerHubDartTask
Submission to TinkerHub's Dart Program.
ravijyoti3/valdermaut.github.io
ravijyoti3/Yet_Another_Algorithms_Repository
Beginner friendly repo for easily contributing algorithms' implementations