dzetsaka
RubixML
| dzetsaka | RubixML | |
|---|---|---|
| 2 | 11 | |
| 77 | 1,977 | |
| - | 0.5% | |
| 0.0 | 4.9 | |
| almost 3 years ago | 1 day ago | |
| Python | PHP | |
| GNU General Public License v3.0 only | MIT License |
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.
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
RubixML
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KNN with PHP ML & Rubix ML
This post is for anybody who has tried to migrate to Rubix ML from PHP ML and more specifically anybody who is experimenting with K-Nearest Neighbors.
- Machine learning and deep learning library for the PHP language
- Any good resources for using ML/AI in PHP?
- Can PHP be used for the same purposes Python is being used for?
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PHP Future
RubixML: PHP machine learning package
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Do you know you could do Machine Learning With PHP?
Some weird but brilliant guy is doing like a port of scikit-learn but in PHP named RubixML, and it worked well!
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I'm Dreaming of a Wild PHP ❄️
One prominent Machine Learning project is RubixML. It's got tools for supervised and unsupervised learning, and it's used in a variety of domains. It's open source and free to use. Some use-cases for RubixML are: Image classification, text sentiment analysis, and image segmentation. If you are planning on doing Google's crash course in Machine Learning, perhaps an Iris Flower Classifier would be a good example to take a look at.
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[OC] Which programming language is required to land a data job at Meta (Facebook)
You know that inline C in PHP is a thing now? Also there is a big big lib for ML stuff https://rubixml.com/
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10+The Best PHP Projects GitHub 2022
Rubix ML
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PHP vs Python EXTREME comparison
The egg headedness and being "hipp" in python shows for example with github stars imho. We do have rubix ml https://github.com/RubixML/ML for php, which is absolutely awesome! But only 1k stars.... and some library for python, that gets you "disappointing results" according to the creator, gets him almost 30k stars. Notice that is half of what laravel has. Something is over hyped in python?
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.
Sentiment - An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
pycm - Multi-class confusion matrix library in Python
laravel-totem - Manage Your Laravel Schedule From A Web Dashboard
Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x
spreed - 🗨️ Nextcloud Talk – chat, video & audio calls for Nextcloud
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.
churn-php - Discover files in need of refactoring.
svm-pytorch - Linear SVM with PyTorch
ml-classify-text-js - Machine learning based text classification in JavaScript using n-grams and cosine similarity
SuperStyl - Supervised Stylometry
contacts - 📇 Contacts app for Nextcloud