SuperStyl VS dzetsaka

Compare SuperStyl vs dzetsaka and see what are their differences.

SuperStyl

Supervised Stylometry (by SupervisedStylometry)

dzetsaka

dzetsaka : classification plugin for Qgis (by nkarasiak)
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SuperStyl dzetsaka
2 2
20 77
- -
9.0 0.0
8 days ago almost 3 years ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

SuperStyl

Posts with mentions or reviews of SuperStyl. We have used some of these posts to build our list of alternatives and similar projects.

dzetsaka

Posts with mentions or reviews of dzetsaka. We have used some of these posts to build our list of alternatives and similar projects.
  • How would i clean manmade features like airports and canals from gis data from an entire country.
    1 project | /r/gis | 21 Apr 2023
  • Remote Sensing and Mangroves
    1 project | /r/remotesensing | 29 Jan 2021
    You can use Sentinel 2 data (https://scihub.copernicus.eu/) and perform a supervised classification in QGIS using dsetzaka plugin (https://github.com/nkarasiak/dzetsaka) and extract boundaries. First remember to install scikit learn into QGIS (be aware to install it into QGIS python repository) otherwise you won't be able to run random forest from the plugin. Then do the same for other dates and create a time serie. At this point you can easily measure area changes. Id suggest to apply NDVI, NDMI, GCI and SIPI to assess health status of vegetation

What are some alternatives?

When comparing SuperStyl and dzetsaka you can also consider the following projects:

100-Days-Of-ML-Code - 100 Days of ML Coding

qgis-latlontools-plugin - QGIS tools to capture and zoom to coordinates using decimal, DMS, WKT, GeoJSON, MGRS, UTM, UPS, GEOREF, ECEF, H3, and Plus Codes notation. Provides external map support, MGRS & Plus Codes conversion and point digitizing tools.

JGAAP - The Java Graphical Authorship Attribution Program

pycm - Multi-class confusion matrix library in Python

Machine-Learning-Cyrillic-Classifier - This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.

Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x

svm-pytorch - Linear SVM with PyTorch

RubixML - A high-level machine learning and deep learning library for the PHP language.

scattertext - Beautiful visualizations of how language differs among document types.

qgis-densityanalysis-plugin - QGIS plugin that automates the creation of density heatmaps with a heatmap explorer to examine the areas of greatest concentrations. It includes H3, geohash, and polygon density map algorithms along with several styling algorithms.

core - Common Open Research Emulator