A hybrid neural network improves the accuracy of the physics-based model in predicting soil reaction front using the neural network
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Updated
Aug 8, 2022 - Python
A hybrid neural network improves the accuracy of the physics-based model in predicting soil reaction front using the neural network
Various calculations for magnetic prospecting
Streamlit application for Geosciences Image Labeling (Category and caption)
GUI for PySubDiv (Python Subdivision [still on development]) using PyQt5 Module (Python Language)
Selective Variance Reduction (Elevation, Latitude, Longitude Decorrelation Strech)
QGIS-GeoSDM. Group of QGIS 3 processing scripts for geosciences - Inspired on Gary Raines SDM and others
Sistema de Informação dos dados de Poluição do Rio
Demo and simple scripts using Firedrake
Open source Windows Application in Python for Geosciences, Artificial Intelligence and Data Sciences - Initial stages, 2021
Jupyter Notebook GeoScientific Python Stack - Dockerfile
Badlands pre & post-processing
Python package to simulate wave-dominated shallow-marine environments using Storms (2003)'s BarSim
Removing the spatial aliasing in the seismic data using Deep Learning Super-resolution
Interactive geoscience (mostly) analytic functions.
xarray accessor for automating choosing colormaps, aimed at geosciences
Python for Geosoft GX Developer
Inversion of dispersion curves using Evolutionary Algorithms
Numba-accelerated computation of surface wave dispersion
Basin and Landscape Dynamics model
🌍 Python package of VTK-based algorithms to analyze geoscientific data and models
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