List of resources for mineral exploration and machine learning, generally with useful code and examples.
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Updated
Jun 11, 2024
List of resources for mineral exploration and machine learning, generally with useful code and examples.
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Code for Mobile Tartu 2024
Overarch provides a data model for the holistic description of a software system, opening multiple use cases on the model data. Supports C4 and UML diagram generation with PlantUML.
Python-based domain-specific language for computational magnetism.
Aiming to improve arm function in people with high-level spinal injuries
A pipeline to detect domains in cryo-EM density map by parsing domains from AlphaFold databases and fitting into the map for the best hits.
IESopt (Integrated Energy System Optimization) is a modeling and optimization framework for integrated energy systems.
(REOS) Radar and Electro-Optical Simulation Framework written in C++.
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
OOMMF calculator.
Testing package for computational magnetism tools.
An in-depth exploration of logistic regression models, including data cleaning, model building, and performance evaluation on various datasets.
Qucs-S is a circuit simulation program with Qt-based GUI
ABS/MBS cashflow engine written in Haskell, with API to Python and C/Java (on the way)
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