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Koustav Kumar Mondal photo

takmashhido Goto Github PK

followers: 9.0 following: 2.0 repos: 23.0 gists: 0.0

Name: Koustav Kumar Mondal

Type: User

Company: Indian Institute of Technology Jodhpur

Bio: I'm Koustav, exploring AI-powered IoT in my Ph.D. research at IIT Jodhpur. Pushing boundaries with Mobile Edge Computing, IoT and ML/DL. Let's make IoT magic.

Location: Rajasthan

Koustav Kumar Mondal's Projects

appimagelauncher icon appimagelauncher

Helper application for Linux distributions serving as a kind of "entry point" for running and integrating AppImages

desktop icon desktop

Fork of GitHub Desktop to support various Linux distributions

gas-sensors-measurements-dataset icon gas-sensors-measurements-dataset

This dataset contains measurements from gas sensors. The data includes readings from various gas sensors (MQ2, MQ3, MQ5, MQ6, MQ7, MQ8, MQ135) along with a serial number and the type of gas detected.

ld-19-data-visualization icon ld-19-data-visualization

This repository contains a Python project for real-time LIDAR data processing and visualization. It reads data from a serial connection, processes angles and distances, and visualizes them on a polar plot using Matplotlib. Designed for the LD19 LIDAR sensor, it features easy customization and event-driven exit.

linux-wifi-hotspot icon linux-wifi-hotspot

Feature-rich wifi hotspot creator for Linux which provides both GUI and command-line interface. It is also able to create a hotspot using the same wifi card which is connected to an AP already ( Similar to Windows 10).

netron icon netron

Visualizer for neural network, deep learning, and machine learning models

onedriver icon onedriver

A native Linux filesystem for Microsoft OneDrive

python icon python

All Algorithms implemented in Python

rtl8192eu-linux icon rtl8192eu-linux

Realtek rtl8192eu official Linux driver, versions: 5.2.19.1 (master), 5.6.3.1, 5.6.4 and 5.11.2.1 (default)

udem-fall19-public icon udem-fall19-public

Public accompanying repository for Universite de Montreal's IFT 6757: Autnonomous Vehicles, Fall 2019.

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