dzetsaka
SuperStyl
| dzetsaka | SuperStyl | |
|---|---|---|
| 2 | 2 | |
| 77 | 20 | |
| - | - | |
| 0.0 | 9.0 | |
| almost 3 years ago | 7 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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dzetsaka
- How would i clean manmade features like airports and canals from gis data from an entire country.
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Remote Sensing and Mangroves
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
SuperStyl
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[N] Who Is Behind QAnon? Linguistic Detectives Find Fingerprints using statistics and machine learning
One of the repos linked by OP mention this Python package in the README.
The French team has put their Python code on GitHub, so from a first glance, after tokenization, features extraction based on words and letters frequency then classification using SVM. The problem is to grab the data yourself...
What are some alternatives?
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.
100-Days-Of-ML-Code - 100 Days of ML Coding
pycm - Multi-class confusion matrix library in Python
JGAAP - The Java Graphical Authorship Attribution Program
Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x
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.
RubixML - A high-level machine learning and deep learning library for the PHP language.
svm-pytorch - Linear SVM with PyTorch
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.
scattertext - Beautiful visualizations of how language differs among document types.
core - Common Open Research Emulator