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followers: 18.0 following: 22.0 repos: 39.0 gists: 16.0

Name: Akshath Varugeese

Type: User

Company: @Nykaa

Bio: Data Scientist

Location: Chennai

Blog: https://akshath123.github.io/About_Me/

Akshath Varugeese's Projects

about_me

Files related to a website themed about me.

alexa-sign-language-translator

A project to make Amazon Echo respond to sign language using your webcam

algorithmic-tool-box

This is the First Course in the specilization of Data Structures and Algorithms. All the codes have been made in C++.

algorithms-on-graphs

This is the Third Course in the specilization of Data Structures and Algorithms. All the codes have been made in C++.

anagram-using-lexicographic-order

This application is developed in Java which finds the Anagram of a word using Lexicographic ordering

autoencoder_implementation_mnist

Learnt from a tutorial how to implement Autoencoder for MNIST dataset.

capslayer

CapsLayer: An advanced library for capsule theory

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsule_generative_adversarial_network

This is a experimental code for where we choose discriminator has the CapsNet and check the generated images.

course-registration-managment

This is a application made in Java which is used for registering courses which is offered in a particular semester and creates a time table accordingly.

cuda_ctypes_windows

Code snippet for CUDA C++ functions in Python through *.dll and ctypes for Windows OS.

data-structures

This is the Second Course in the specilization of Data Structures and Algorithms. All the codes have been made in C++.

dodge-me-game-

A PC game developed in Java using Swing components and MySql at its backend.

dodge-the-brick

A game developed using graphics.h library in C++.

edgerandomforest

An implementation of "Fast Edge Detection Using Structured Forests"

emojifier

Using LSTM to predict the emoji for a given sentence.

finding-out-accident-occurrence-using-accelerator-in-mobile-phones-

With the help of Pattern reorganization and Machine Learning ( clustering ) predicting accidents using the accelerator in the mobile phones.

This is a project which uses haar casade to detect face position and control the media player accordingly. If the user is seeing the screen the media plays but as soon as the user changes his face position ( looks away from the screen ) the media player pauses and waits until the user see's back to the screen.

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