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Hi there I'm Aman Priyanshu,

I am a Privacy Engineering Student pursuing MS in Privacy Engineering at CMU๐Ÿ‘จโ€๐Ÿ’ป. I am deeply passionate about Deep Learning, Cyber Security and the Research bringing together these two vast fields. Exploring opportunities to learn and grow to pursue development and research in these and other technologies. Please check out my Website!

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Research Enthusiast.

๐Ÿ‘จโ€๐ŸŽ“ Studying Information Technology at Manipal Institute of Technology.

My Interests: Deep Learning and Privacy Enabled Machine Learning

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Aman Priyanshu's Projects

hexalite icon hexalite

An unsupervised method for text searching based on contextual similarity within a corpus.

it icon it

its Information Technology

kdd-cup-1999 icon kdd-cup-1999

Data and descriptions are copy from http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html This is the data set used for The Third International Knowledge Discovery and Data Mining Tools Competition, which was held in conjunction with KDD-99 The Fifth International Conference on Knowledge Discovery and Data Mining. The competition task was to build a network intrusion detector, a predictive model capable of distinguishing between bad'' connections, called intrusions or attacks, andgood'' normal connections. This database contains a standard set of data to be audited, which includes a wide variety of intrusions simulated in a military network environment.

key-frame-extraction icon key-frame-extraction

Key frame extraction is a powerful tool that implements video content by selecting a set of summary key frames to represent video sequences. Most of the existing key frames extraction methods are not suitable for video copyright protection, as they do not meet specific requirements.

keyrelbert icon keyrelbert

Extracting keywords and relations using SentenceTransformers

learning-julia icon learning-julia

Learning and understanding Julia. Used for scientific computations, it is much faster compared to Python, its counter-part.

lottery-ticket-hypothesis icon lottery-ticket-hypothesis

โ€œA randomly-initialized, dense neural network contains a subnetwork that is initialized such thatโ€”when trained in isolationโ€”it can match the test accuracy of the original network after training for at most the same number of iterations,โ€ - Hypothesis

machinelearningcollections icon machinelearningcollections

Creating a collection of machine learning projects which solve basic problems as tutorials and guides for beginners

makemytripapi icon makemytripapi

Creating a Python API, for the MakeMyTrip Flight Schedules.

manimml icon manimml

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

manipal-popina icon manipal-popina

A full-stack application for the MIT-DBS-LAB-PROJECT-2021(OCT). Developed an entire application from the front end to the back end and the code connecting it to an SQL database system.

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

multi-party-cli icon multi-party-cli

Creating a basic implementation for exploring CLI across multiple clients for distributed operations.

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