Alfredo Sanchez's repositories
3DMPM
Learning 3D Mineral Prospectivity from 3D Geological Models Using Convolutional Neural Networks
Aeromagnetic_CNN
An automatic interpretation method for lineaments in aeromagnetic datasets using Convolution Neural Networks.
ArcSDM
Spatial Data Modeler 5 for ArcGis Desktop and ArcGis Pro
Awesome-Geospatial
Long list of geospatial tools and resources
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Coursera-Machine-Learning-Specialization
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 175 universities.
DeepWorks
A collection of Deep Learning projects and resources
DenseNet-1D-2D-Tensorflow-Keras
Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and DenseNet264 (1D and 2D version with DEMO for Classification and Regression)
eql-gradient-boosted
Gradient-boosted equivalent sources method for interpolating very large gravity and magnetic datasets
fastsom
A PyTorch and Fastai based implementation of Self-Organizing Maps.
fatbox_tutorials
A couple of tutorials showing how to extract faults from raster data using the fault analysis toolbox
flirpy
Python library to interact with FLIR camera cores
geoscience-ML-tutorial
Some simple tutorials about machine learning / deep learning / optimization in geosciences.
GeoThermalCloud.jl
Geothermal Cloud for Machine Learning
gimli
Geophysical Inversion and Modeling Library :earth_africa:
harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test
Machine-Learning
Material Associated with the lecture Machine Learning in Geophysics
Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
mineral-exploration-machine-learning
This page lists resources for mineral exploration and machine learning, generally with useful code and examples.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
PlateCurie
Estimating Curie depth from magnetic anomaly data
pytorch-Deep-Learning
Deep Learning (with PyTorch)
radiography-images-classification
Image Classification using Resnet50 with fast.ai Python.
REGULARIZATION-IMAGES-SD
Regularization images for Dreambooth SD
tsai
Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
UtahForge_logdata
Dataset petrophysical logs, and cuttings sample laboratory results.
xview-yolov3
xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.