pycm
dzetsaka
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| pycm | dzetsaka | |
|---|---|---|
| 18 | 2 | |
| 1,429 | 74 | |
| - | - | |
| 5.0 | 0.0 | |
| 2 months ago | over 2 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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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.
pycm
- PyCM 4.0 Released: Multilabel Confusion Matrix Support
- PyCM 3.9 Released: Log-loss Support
- PyCM 3.8 Released: Distance/Similarity Support
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[P] PyCM 3.7 released: ROC curve and Precision-Recall curve are added
The complete change log of this version is available here.
- PyCM 3.7 Released: ROC/PR Curve Support
- PyCM 3.6 released: Multi-class confusion matrix library in Python
- PyCM 3.5 released: Multi-class confusion matrix library in Python
- PyCM 3.4 released: Multi-class confusion matrix library in Python
- [P] PyCM 3.3 released: Comparison of Classifiers Based on Confusion Matrix
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
What are some alternatives?
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
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.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
RubixML - A high-level machine learning and deep learning library for the PHP language.
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
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.
pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
svm-pytorch - Linear SVM with PyTorch
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
SuperStyl - Supervised Stylometry