MuseoToolBox
Raster processor
A Python library for simplifying raster processing and promoting spatial cross-validation in machine learning
MuseoToolBox : a python library for remote sensing scripts
35 stars
5 watching
14 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
makepath/xarray-spatial | A Python library for efficient raster analysis and processing of spatial data | 844 |
pdollar/toolbox | A Matlab-based toolset for image and video processing and analysis | 850 |
nansencenter/nansat | A Python toolbox for processing 2D satellite Earth observation data | 182 |
pka/georaster | A Rust library for working with geospatial raster images | 24 |
radwinskis/radgeetoolbox | Provides tools for processing and analyzing satellite imagery using Google Earth Engine (GEE) data | 3 |
mogasw/rasterix | A utility for processing and analyzing geospatial raster data with graphical user interface capabilities | 29 |
kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
dm6718/ritsar | A Python-based software toolkit for processing Synthetic Aperture Radar image data | 205 |
molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
esa-philab/opensartoolkit | A toolset for pre-processing and analyzing SAR data from Sentinel-1 satellites | 213 |
rentruewang/koila | A lightweight wrapper around PyTorch to prevent CUDA out-of-memory errors and optimize model execution | 1,821 |
benmack/eo-box | A toolbox for processing earth observation data with Python. | 14 |
sergioburdisso/pyss3 | A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |
raphaelquast/eomaps | A Python package to create interactive maps of geographical datasets | 339 |
bodokaiser/piwise | This project provides a Python implementation of various deep learning architectures for pixel-wise segmentation tasks. | 383 |