Alfredo Sanchez's repositories
CNN-for-ASI
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
dlai-2019
Deep Learning for Artificial Intelligence, MSc course @ UPC TelecomBCN (3rd edition)
idl-2020
Introduction to Deep Learning, BSc seminar @ UPC TelecomBCN (3rd edition)
geogan
Style-based GAN for geophysical fields
mlp-example
Code for a simple MLP (Multi-Layer Perceptron)
xview2_solution
2nd place solution for Xview2 challenge https://xview2.org/
Introduccion-a-Python
Temas muy básicos pero útiles
g2net_2nd_training_school_malta_mar_2020
CA17137 - A network for Gravitational Waves, Geophysics and Machine Learning - 2nd Training School
Assignments-Data-Driven-Astronomy-from-University-of-sydney-on-coursera-
This repositorie contain all the assignment that i am completing during the lessons from course Data driven Astronomy that i am learning form university of sydney on coursera see here https://www.coursera.org/learn/data-driven-astronomy
data-driven-astronomy
Data-driven Astronomy Coursera course
em-notebooks
a collection of jupyter notebooks that use SimPEG.EM
create-a-hdf5-data-set-for-deep-learning
create your own data set with python library h5py and a simple example for image recognition
bayseg
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
kaggle.lanl
Kaggle submission: LANL Earthquake Prediction
FCNVMB-Deep-learning-based-seismic-velocity-model-building
Deep-learning inversion: A next-generation seismic velocity model building method
Quality_Prediction_ML
Predict the % of silica present in the iron core concentration given the manufacturing data of a flotation plant
MSDS696-Masters-Final-Project
Earthquake Prediction Challenge with LightGBM and XGBoost
LANL-EarthQuake-Prediction
Predicting time to failure given the labs data.
LANL-Earthquake-Prediction-1
Time series forecasting project for Kaggle competition
Lanl-Earthquake-Prediction-Model
Kaggle Competition : LANL Earthquake Prediction
Kaggle_challenges
Notebooks with solutions for Kaggle challenges
ML4SETI
Machine Learning for SETI
The-Field-Guide-to-Data-Science
This is meant to be a Data Science resource for capturing the latest technology, expertise, and evolving techniques in Data Science.
semantic_segmentation_satellite_image
This repository contains all the codes and data for semantic geologic segmentation of Landsat 8 images
Deep-Learning-for-Inverse-Problems
This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.