Malak's starred repositories
internetspeedtest
Log your internet download, upload and ping metrics ti influxDB, and Grafana it. Grafana all the things!
ookla-open-data
Speedtest by Ookla Global Fixed and Mobile Network Performance Map Tiles
broadband-analysis
Analyze FCC and Ookla data
automate-ookla-speedtest
With this PowerShell script you can easily use Ookla Speedtest® CLI to measure internet connection performance metrics like download, upload, latency and packet loss natively without relying on a web browser.
network-tests
Python scripts to do network tests like download/upload speeds, network latency (ping), calculate stats and store results in a CSV file.
AutoSpeedtests-and-Wifi-Speed-Analysis
This repository contains a project to create an API which automates command line speedtests by leveraging the Ookla Speedtest capabilities. The script then produces a plot of the download speed, upload speed, latency, and jitter of the connection over time in order to better understand the nature of the connection over a period of time.
Internet_Speed_Analysis
Internet speed data analysis of India (For April 2021)
ookla-statcan-analysis
Statistical analysis of Canadian internet speeds
particlespy_examples
Examples notebooks for the ParticleSpy package.
CT-Lung-Segmentation
Pytorch implementation of Lung CT image segmentation Using U-net
Automatic-Detection-of-Cancer-cells
It involves the implementation of Image Segmentation algorithm and Transfer Learning in Tensorflow for the automatic detection of cancer cells (GUI included)
Deep_learning_automated__neuron_segmentation
Electron Microscopy Images, Neuron Segmentation Task. https://cremi.org
AutoRetinalImageSegmentation
This code is used for joint optic disc and cup segmentation from retinal fundus images
image-segmentation-auto-labels
A service to auto-generate masks for image segmentation
Inception-Dash
Image classification dashboard with Python and Keras
dash-image-annotator
Image Annotator Web-app using Plotly-Dash, MongoDB, and MLflow
dash-canvas
An interactive image editing component for Dash
Auto-Annotate
Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
dash-image-processing
Dash Demo App - Image Processing App
correct_segmentation
Dash platform to correct image segmentation for thermal anomalies.
dash_doodler
Doodler. A web application built with plotly/dash for image segmentation with minimal supervision. Plays nicely with segmentation gym, https://github.com/Doodleverse/segmentation_gym
particlespy
Package for analysing particles in electron microscopy data sets.
MPInterfaces
Python package that enables high throughput analysis of interfaces(two dimensional materials, hetero-structures, nanoparticles with and without ligands/solvents).
mphys-project
Code base for my masters project: Analysing Nanoparticle Size Using Image Analysis and Machine Learning.
Brazilian_E-Commerce_Data_Analysis
This is a Brazilian e-commerce public dataset of orders made at Olist Store.
EDA_Of_The_Brazilian_E_Commerce_Dataset
Exploratory Data Analysis(EDA) plus some predictions of the (Brazilian E-Commerce Public Dataset by Olist) on Kaggle