SmartTensors/GeoThermalCloud.jl
Geothermal Cloud for Machine Learning
This project helps geothermal scientists and engineers use machine learning to identify promising geothermal sites. It takes geological survey data and other site information, then applies advanced algorithms to pinpoint areas with high geothermal potential. Geoscientists and geothermal developers can use this to optimize exploration and development efforts.
Use this if you are a geothermal scientist, exploration geologist, or engineer looking to apply advanced machine learning techniques to real-world geothermal site data to improve resource identification and characterization.
Not ideal if you need a general-purpose machine learning framework for domains outside of geothermal energy, or if you prefer not to work with Julia for your analyses.
Stars
33
Forks
7
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Oct 19, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SmartTensors/GeoThermalCloud.jl"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
CliMA/Oceananigans.jl
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
JuliaLang/julia
The Julia Programming Language
WassimTenachi/PhySO
Physical Symbolic Optimization
EnzymeAD/Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
astroautomata/SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia