flohorovicic's Stars
scottbez1/smartknob
Haptic input knob with software-defined endstops and virtual detents
gee-community/geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
BrunoLevy/geogram
a programming library with geometric algorithms
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
pyproj4/pyproj
Python interface to PROJ (cartographic projections and coordinate transformations library)
Ceyron/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
SALib/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
fatiando/pooch
A friend to fetch your data files
patrickmineault/codebook
The Good Research Code Handbook
neuralhydrology/neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
cgre-aachen/gemgis
Spatial data processing for geomodeling
Loop3D/LoopStructural
LoopStructural is an open-source 3D structural geological modelling library.
RichardScottOZ/mineral-exploration-machine-learning
List of resources for mineral exploration and machine learning, generally with useful code and examples.
cgre-aachen/open_AR_Sandbox
open-AR-Sandbox is a project to enable haptic interaction with geoscientific content in AR-Sandboxes.
italo-goncalves/geoML
Spatial modeling using machine learning concepts
Japhiolite/geothermics
Educational repository with Jupyter Notebooks all around the topic of geothermal energy
randlab/ArchPy
ArchPy - Stochastic geological modeling
GAIA-UNIL/G2S
A flexible MPS framework
hifexplo/hylite
An open-source toolbox for spectral geology
swisstopo/swissgeol-viewer-app
swissgeol.ch gives you insight in geoscientific data - above and below the surface
MABeeskow/GebPy
GebPy is a Python-based, open source tool for the generation of geological data of minerals, rocks and complete lithological sequences. The data can be generated randomly or with respect to user-defined constraints, for example a specific element concentration within minerals and rocks or the order of units within a complete lithological profile.
GeophysicsLibrary/machine-learning
Open textbook: A practical introduction to machine learning in geophysics
gecos-lab/FracAbility
Python toolbox to analyse fracture networks for digitalized rock outcrops.
vector-raw-materials/vector-geology
This is a package where most of the algorithms related to geological modeling are compiled
Rofti/Multidimensional-Superpixel-Segmentation
cgre-aachen/gemgis_data
This repository contains the data used in GemGIS
Japhiolite/bqcs
Some functions to click interface points from geological cross sections (cs), based on bqplot. Thus bqcs.
malteschade/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
danielsk78/pygeoiga
Making sense of Isogeometric Analysis for geothermal applications: Parametric geomodeling (NURBS) for fast model construction, simulation and adaptation
cgre-aachen/FastElephant
Coupling and processing options for DwarfElephant