Prithvi Prakash (sunny1110)

sunny1110

Geek Repo

Company:University of Illinois, Urbana Champaign

Location:Champaign-Urbana

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Prithvi Prakash's repositories

Channel-Specific-Autoencoder

This is an implementation of my research idea: A Channel-Specific Autoencoder inspired from the principle of "Co-operation" and "division of labour".

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Autoencoder

A 5+5-layered Auto encoder that makes use of the LFW dataset to reconstruct facial images.

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Face-Recognizer

This is a Face Recogniser, that uses logistic regression to solve the problem

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image_pyramid

Implementation of Gaussian and Laplacian Pyramids

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2024_Quandela_Remote

Quandela iQuHACK 2024 Remote Challenge

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Algorithms

A repository of all the DS+A Problems I've worked on.

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bankNote

A system capable of authenticating the genuineness of a banknote

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ModCom

ModCom (Model-Commodities) is a project intended to model the rise and fall of various commodity prices in the numerous markets of India, and identify profitable markets and supply-chain pipelines.

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Normal-Equations

This Notebook explains in detail the Normal Equation that is made use of in Linear Regression

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SwitchPointEncryption

A Proof of Concept for SwitchPoint Encryption.

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BreakingCaesar

This Algorithm breaks the Caesar cipher. Reasonably high success rate.

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CS229

A repository for all the problem sets of CS229

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DigitRecogniser

This project works on building a training algorithm to recognise digits

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HoneyEncryption

A web app for implementing honey encryption written using python for honey encryption modules, Django for backend purposes, bootstrap for front end development. This Honey Encryption algorithm provides resilience towards brute force attack which is one of the mazor threat for any encryption methods

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KeenASR-Android-PoC

A proof-of-concept app using KeenASR SDK on Android. WE ARE HIRING: https://keenresearch.com/careers.html

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Neural-Networks-Research

An implementation of a vanilla feedforward neural network

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Stanford-ml-ex1

This is a set of all solutions of the Stanford Machine Learning Class' First Exercise.

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Stanford-ml-ex2

All Solutions of the second excercise

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Stanford-ml-ex3

An implementation of the representation of Neural Networks, with pre-trained weights.

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Stanford-ml-ex4

More on Neural Networks: Training.

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Stanford-ml-ex5

The fifth Exercise of the Stanford Machine Learning Course. Observing Bias and Variance

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Stanford-ml-ex6

An implementation of Support Vector Machines

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Stanford-ml-ex7

An implementation of Unsupervised Learning, and PCA

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Stanford-ml-ex8

An implementation of an Anomaly Detector and a Recommender System

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sunny1110.github.io

My Home Page.

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Test

This is a test repository. I'm using it to test out my work.

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Test3

My GitHub's giving me trouble. I'm using this to test if there's something wrong. Nothing of interest here.

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