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Lokesh Karthikeyan's Projects

autopilot icon autopilot

AutoPilot simulates autonomous driving using Closed Loop Rapidly-exploring Random Tree in Python. It overcomes the constraints dictated by the urban environment.

courserecommender icon courserecommender

Course Recommender that uses Intelligent Information Retrieval techniques to recommend courses based on the queries using the real-time data scrapped from Coursera website.

downloadmanager icon downloadmanager

DownloadManager, a Java application that divides the files to be downloaded into multiple streams and facilitates the downloading of the file streams in parallel.

etailer icon etailer

E-tailer, a product search engine using Trie, Priority Heap in C++. The search history is maintained in Priority Heaps and the user and product data are stored in Trie.

grammars-v4 icon grammars-v4

Grammars written for ANTLR v4; expectation that the grammars are free of actions.

jspdf icon jspdf

JavaScript PDF generation for legends. HTML5 FTW.

multi-max-clique icon multi-max-clique

Multi-Max-Clique, an application that solves Maximum Clique Problem using the parallel branch and bound approach and achieved linear and super-linear speedups in CUDA.

node-html-pdf icon node-html-pdf

Html to pdf converter in nodejs. It spawns a phantomjs process and passes the pdf as buffer or as filename.

partnership icon partnership

Partnership is a collaboration platform that Innovators can use to accelerate their projects by crowd-funding skills and time from their colleagues. Smart engineers with niche skills and drive to create an impact will come to this platform to find interesting projects to offer their time.Partnership is for people who have already proven an idea’s worth and looking to take it forward to execution. It is also for people looking for opportunities to engage in interesting innovation projects.

rubyvis icon rubyvis

Ruby version of Protovis, a visualization toolkit.

topbeat-elasticsearch-xenonstack icon topbeat-elasticsearch-xenonstack

This repository contains the procedure and code for the extraction of system metrics in real time using topbeat and then indexing the statistics in elasticsearch. This is done as a task given to me by a developing data science company in Chandigarh.

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