aminkhairoun's repositories
AGB_allodb
An R package for biomass estimation at extratropical forest plots.
cerlymarco_NoteBooks
Repository containing notebooks of my posts on Medium
cmaps
user defined colormaps in matplotlib.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
ee-packages-py
Python version of some usefuly Google Earth Engine utilities (migrated from /users/gena/packages JavaScript)
flask-tileserver
🌐 Local tile server for viewing geospatial raster files with ipyleaflet
gee_packages
GEE awesome stable packages
gee_tools
Google Earth Engine Tools (scripts)
getSpatialData
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
ipygee
A set of tools for working with Google Earth Engine Python API in Jupyter notebooks
Landsat-Classification-Using-Convolution-Neural-Network
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
models
Models and examples built with TensorFlow
multirow
LaTeX package multirow
paramonte
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
sits
Satellite image time series in R
uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.