sujay-vittal Goto Github PK

autonomous-car

Modeling of an autonomous car - CS221 Stanford Assignment

clear-water

Forecasting elevated levels of E. coli at Chicago beaches to provide proper warning to beach-goers.

color-identification-cot-purdue

compmaps

A compass that basically captures the directions, updates the data structure and tries to direct the person to a particular place using the directions retrieved from the data structure.

cv-template

One page website code for your resume

data-modelling-for-effective-disaster-rehabilitation

The project aims to create a model that can be used for effective disaster rehabilitation mechanisms. The use case considered here is the Chennai floods that rocked the shores of India during November-December 2015.

data-science-guide

A guide book to the world of Data Science - Will slowly extend this repo to include more and more topics!

javaparser

Java 1-12 Parser and Abstract Syntax Tree for Java –

machine-learning-with-tensorflow-study-jam-2017

Resource page for Machine Learning Study Jam 2017 (Google Developers' Group Bangalore)

models

Models and examples built with TensorFlow

purdue-northwest-job-bulletin

Repository that holds source code to the weekly Job Bulletin owned and managed by the career center at Purdue Northwest

sentiment-analysis

Sentiment Classifier

software-engineering

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

sujay-vittal.github.io

CV

table-driven-top-down-parser

This repository holds the Java implementation of a table driven top down parser

text-reconstruction

This project involves two tasks - word segmentation and vowel insertion. Word segmentation often comes up when processing many non-English languages, in which words might not be flanked by spaces on either end, such as written Chinese or long compound German words. Vowel insertion is relevant for languages like Arabic or Hebrew, where modern script eschews notations for vowel sounds and the human reader infers them from context. More generally, this is an instance of a reconstruction problem with a lossy encoding and some context.

udacity_hadoop_intro

Notes and tasks code for Cloudera / Udacity hadoop course