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Prithvi Prakash's Projects

algorithms icon algorithms

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

autoencoder icon autoencoder

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

banknote icon banknote

A system capable of authenticating the genuineness of a banknote

breakingcaesar icon breakingcaesar

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

channel-specific-autoencoder icon 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".

cs229 icon cs229

A repository for all the problem sets of CS229

digitrecogniser icon digitrecogniser

This project works on building a training algorithm to recognise digits

face-recognizer icon face-recognizer

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

honeyencryption icon 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

keenasr-android-poc icon keenasr-android-poc

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

modcom icon 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.

normal-equations icon normal-equations

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

stanford-ml-ex1 icon stanford-ml-ex1

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

stanford-ml-ex3 icon stanford-ml-ex3

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

stanford-ml-ex5 icon stanford-ml-ex5

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

test icon test

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

test3 icon 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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