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2016-ml-contest

Machine learning contest - October 2016 TLE

2021-mlgeo-github

Machine Learning in Geoscience is the course held in SUSTech 2021 by Prof. Arnaud MIGNAN. All codes are provided by Prof. MIGNAN, thanks a lot.

2021-unavco-course

Planning and material for the 2021 UNAVCO GMT for Geodesy course

2d-plate-flexure

This is a finite difference model for 2-D plate flexure. Governing Equation given by Tourcotte and Schubert in section 3-9. Model solves for plate flexure through centered finite differences. Boundary conditions are given in the code. Rigidity is manually set on each node, and vertical loads are represented by seamounts.

3d_seismic_interpretation_course

3D Seismic Interpretation Course from Colorado School of Mines

advanced-machine-learning-projects

[ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) during the academic year 2019-2020.

astic-2020-jointinversion

Collection of scripts to reproduce the results of Astic et al. (2020): forward modelling and joint inversion of potential fields data with petrophysical information (Petrophysically and geologically guided inversion: PGI)

badlands

Basin and Landscape Dynamics model

badlands-workshop

Badlands workshop & examples

berkeley-cs188-artificial-intelligence

👻 Solutions for the course "CS188: Artificial Intelligence" of University of California, Berkeley.

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

ci360-ci560-mobile-application-development-tutorials

clip-mesh

Official implementation of CLIP-Mesh: Generating textured meshes from text using pretrained image-text models

cocolessons

Course material for the Code to Communicate program.

cold-diffusion-models

Official implementation of Cold-Diffusion for different transformations in pytorch.

compgeo

Computational geosciences resource at UiS

computational-geophysics

Python implementations in geophysical methods: seismic and gravity

course_ml_for_exploration_geophysics

Repository for the 2020 short course on Machine Learning for Exploration Geophysics

coursera-machine-learning-stanford

Machine learning-Stanford University

crimeacs.github.io

My personal web-site

csci_407_machine_learning_course

ML Course from Colorado School of Mines

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dsfem_advertising_challenge_multiplelinearregresion

Reto de "Data Science Fem" Analizando la relación entre la inversión en publicidad en televisión, radio y periódico en las ventas del producto mediante un modelo de regresión lineal múltiple

easc3170_2020

Labs for an introductory Geophysics course

eqlayer-magnetization-direction

Manuscript and code for the application of equivalent layer technique for estimating magnetization direction

fatiando

DEPRECATED in favor of our newer libraries (see www.fatiando.org). Python toolkit for modeling and inversion in geophysics.

flopy

A Python package to create, run, and post-process MODFLOW-based models.

force-2020-machine-learning-competition

the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.

g2net_2nd_training_school_malta_mar_2020

CA17137 - A network for Gravitational Waves, Geophysics and Machine Learning - 2nd Training School

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.