Ashwin B S (Ashwin-op)

Ashwin-op

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Location:Irvine, CA

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Ashwin B S's starred repositories

CMOS-Netlist-Generator

Generates the CMOS Netlist of a given Boolean Expression

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ParseNPath

A Gate-Level Design Based Verilog Code Parser that finds the Path from all Input to Output Nodes.

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Sparky-Bot

A Discord bot for Codechef [Deactivated]

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Sparky-Bot

A Discord bot for Codechef

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Embedded-Systems

Software simulation of embedded systems using IAR

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Computer-Architecture

In computer engineering, computer architecture is a set of rules and methods that describe the functionality, organization, and implementation of computer systems. Some definitions of architecture define it as describing the capabilities and programming model of a computer but not a particular implementation.

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Computer-Architecture

The following repository contains various programs developed as a part of Computer Architecture Practice Course

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Blog-website

This is a simple blog created using Django and Python.

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streamera

Stream camera feed from your phone to laptop!

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The-Great-India-Hackathon

The following repository contains source code for the The Great India Hackathon organized by MachineHack (Analytics India Magazine)

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Android-Basics

The following repository contains source code for various android projects

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Compiler-Design

A compiler translates the code written in one language to some other language without changing the meaning of the program. ... Compiler design covers basic translation mechanism and error detection & recovery. It includes lexical, syntax, and semantic analysis as front end, and code generation and optimization as back-end.

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First-Follow

Program to calculate First and Follow sets of given grammar .

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Left-Factoring

Program to identify left recursive grammar and convert it to right recursive grammar.

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Computer-Networks

Codes done as part of computer Networks

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DVR

A simulation of the Distance Vector Routing Table using socket programming

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Operating-Systems

A code repository of the codes done as part of Operating Systems Lab.

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Predicting_house_prices-Simple_Regression

Using Simple Regression Machine Learning model to predict house prices from a given SFrame data. Done in two phases - taking only one feature of house into consideration and then extending it to multiple features and comparing both the models.

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Sentiment_Analysis-Baby_products

Building a sentiment classifier, defining a positive and negative statement, training the Machine Learning model on a set of data on baby product Amazon reviews and analyze sentiment for a particular baby product from its reviews.

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Clustering_and_similarity-Retrieving_documents

Loading some data from wikipedia, computing word count and TF-IDF for entire corpus of articles, Applying Nearest neighbour model to find distances between articles and finding the nearest one.

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Song-Recommender-System-ML

Loading some songs data, creating two recommender models - one based on popularity and one personalized recommender using similar item function, and comparing the two models.

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Image_Classifier-using-Deep_features

Load some image data, splitting them into training and test sets. Building two image classifiers - 1. Raw pixel model 2. Deep features model. Training the models on training data and evaluating the models using the test data.

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Image_Retrieval-using-Deep_features

Loading some image data, computing deep features from images and creating k-nearest neighbour model to retrieve images using deep features.

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Operating-systems

Codes done as part of operating systems course

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Design_and_Analysis_of_algorithms

Codes done as part of DAA course

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Compiler-Utilities

Compiler Utility Tools

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JavaScript

JavaScript, often abbreviated as JS, is a programming language that conforms to the ECMAScript specification. JavaScript is high-level, often just-in-time compiled, and multi-paradigm.

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