🌍 Calling all Earth & Environmental Science enthusiasts! 🌿 Check out these top 5 open-source machine learning GUI/packages for cutting-edge applications in the field: #machinelearning#codes#earthsciences
AI4Water v1.0: An open source python package for modeling hydrological time series using data-driven methods
Code: github.com/AtrCheema/AI4W…)
ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather
Code: portal.nersc.gov/project/Climat…
MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data
Code:github.com/mad-lab-fau/ma…
NEURAL HYDROLOGY:
Using Neural Networks in Hydrology
Open Geoscience for Seismic and Seismology, Ground-Penetrating Radar, Well Log, Simulation and Modelling Reservoir Engineering, Geostatistics, Geospatial, Geochemistry, Geophysics, Structural Geology, Visualization Platforms
Code: github.com/softwareunderg…
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"🌍 Calling all Earth & Environmental Science enthusiasts! 🌱 Check out these top 5 machine learning courses to enhance your data analysis skills and advance research in your field. 📚🔬 Unleash the power of AI in understanding our planet. #MachineLearning#EarthScience
1. Machine Learning for Earth System Science by Prof. Adway Mitra. It covers the basics of machine learning and its applications in earth system science, such as climate modeling, remote sensing, and soil analysis. onlinecourses.nptel.ac.in/noc22_cs119/pr…
2.Machine Learning in Geosciences Instructor:Gerard Schuster (King Abdullah University of Science and Technology, Saudi Arabia) learninggeoscience.org/local/pages/?i…