Aryan Kenchappagol (aryanxk02)

aryanxk02

Geek Repo

Company:International Institute of Information Technology, Pune

Location:Pune, India

Twitter:@aryan_kx

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Aryan Kenchappagol's repositories

CoVAC

CoVAC is an all-in-one Covid info toolkit app, providing users the facility to check for available slots along with receiving the latest updates related to the pandemic and the virus.

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Heart-Failure-Prediction

Machine Learning Algorithm implementation for classification of heart failure predictions

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TFLiteCodeGenerator

This repository contains a code generation tool to make it easier for developers looking to run ML models on Espressif micro-controllers.

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ansible-roles

MapMint installer

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aryanxk02

Config files for my GitHub profile.

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tflite-micro-esp-examples

TensorFlow Lite Micro for Espressif Chipsets

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Automation-with-Python

Playing with charts/bars/graphs in python

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dffml

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

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dsc-website

Developers Student Club Website

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Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

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Heart_Failure_Prediction

Heart Failure Prediction using different machine learning algorithms and an aggregator function

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ivy

Unified AI

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mapmint

Fast and easy webmapping.

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mapmint-test

Code for implementing 3D visualizations

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mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

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scancode-toolkit

:mag_right: ScanCode detects licenses, copyrights, package manifests & dependencies and more by scanning code ... to discover and inventory open source and third-party packages used in your code.

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testing-host

Repo for ML model hosting purpose using Flask

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tflite-micro

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

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train-reservation-sys

Train Reservation system project done using Singly Linked List and STL

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Video-Rendering-Time-Prediction

Algorithm designed to predict the time required to convert one video type to another using MACHINE LEARNING USING PYTHON.

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