nnakul Goto Github PK
Name: Nakul Aggarwal
Type: User
Company: Indian Institute of Technology Kharagpur
Bio: 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐈𝐧𝐝𝐢𝐚𝐧 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐨𝐟 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐊𝐡𝐚𝐫𝐚𝐠𝐩𝐮𝐫
Location: Kharagpur, West Bengal
Name: Nakul Aggarwal
Type: User
Company: Indian Institute of Technology Kharagpur
Bio: 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐈𝐧𝐝𝐢𝐚𝐧 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐨𝐟 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐊𝐡𝐚𝐫𝐚𝐠𝐩𝐮𝐫
Location: Kharagpur, West Bengal
Implemented a novel Android malware detection software using natural language processing and deep learning to extract features from the static analysis reports of the applications.
Software that builds and maintains a knowledge graph from structured data in real-time, while detecting and solving the problems of schema mapping and record linkage
The project contains simulations for various chaos games that generate some very interesting and complex graphics like the Sierpinski triangle and the Vicsek fractal.
The project realises a playable simulation of disease outbreak where parameters like transmission and mortality rates can be tweaked to study how the epidemic unfolds.
The project uses Discrete Fourier Transform to express a drawing as a sequence of epicycles characterised by their initial phase, radius and frequency.
The repository contains all the assignments completed as a course-work of the 3rd semester.
The repository contains all the assignments completed as a course-work of the 4th semester.
The repository contains all the assignments completed as a course-work of the 5th semester.
The repository contains all the assignments completed as a course-work of the 6th semester.
Using word-embeddings in conjunction with clustering and PageRank style algorithms to design unsupervised tools to extract keywords from a text document.
Using language modelling to develop a text-completion application; studying interpolation of several n-gram models and opimisation of interpolation weights to minimise the perplexity of the model.
Documented, implemented and tested a library management software in an iterative SDLC.
The project contains a miniature offline model of search engine that uses hybrid of various data structures to scan and index information from multiple local files and respond to queries.
Using recurrent neural networks to learn the beats, tempos, notes and chords of music, and durations and offsets associated with them, to compose their own music.
The project contains a tic-tac-toe game which can be played by several online users, organised in pairs, in a local area network; besides against a minimax algorithm that strategizes optimally.
The project aims at visualizing the A* path finding algorithm starting with the user choosing the starting and the ending nodes on a grid and drawing a maze on the same.
Developed a web-app that retrieves a ranked list of the papers most relevant to a given example article, based on a particular facet (background, result or method)
Using recurrent neural networks to learn subjective information of texts and hence understand the sentiment associated with them.
The project is an endless running video game in which an explorer aims at obtaining maximum score by dodging all the intervening obstacles.
Training an encoder-decoder model that captures the semantic and syntactic properties of sentences and hence maps similar sentences to similar vector representations.
The repository contains all the software theory and lab assignments completed as a course-work of fourth semester. CS20006 SOFTWARE ENGINEERING + CS29006 SOFTWARE ENGINEERING LABORATORY
The project is about finding a valid solution for a game of Sudoku using Backtracking Algorithm while also showing the visualization of the steps the algorithm goes through.
The project uses the symmetric delete spelling correction algorithm, noisy channel model and python's natural language toolkit to develop a spell-checking application.
Implementing a feed-forward neural network in conjunction with advanced sampling techniques to learn high-quality distributed vector representations of words.
Using graph connectivity in WordNets and PageRank style algorithm to develop an unsupervised word-sense disambiguation tool.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.