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2016-ml-contest

Machine learning contest - October 2016 TLE

2017-tle-hall

Three data analytics party tricks, March 2017

2daycourse

2 day short course.

70-years-of-machine-learning-in-geoscience-in-review

Code to recreate the tutorial and figures in the book chapter.

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

altair-used-to-select-samples-from-poro-perm-cross-plot-to-display-the-respective-pc-curves

We are using Altair to Select Samples from a Poro-Perm Cross Plot and the respective Pc Curves or other data are then shown for the selected samples

applied-ml

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

artificial_intelligence_diagrams

Schematics and diagrams that explain Artificial Intelligence

awesome-deep-learning-resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

batchflow

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

bigdata-workshop-es

Workshop Big Data en Español

bruges

Geophysics library with various helpful functions

certificacion-profesional-python

Curso Python 2022

cheatsheets

Official Matplotlib cheat sheets

covid-19-cssegisanddata

covid-seminario-itba

Proyecto de Seminario Intensivo de la Especialización de Ciencia de Dato ITBA

data-visualization

Data Visualization with Python

deep-denoising-autoencoder-for-seismic-random-noise-attenuation

Deep Denoising Autoencoder for Seismic Random Noise Attenuation

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

filtering-stft-and-laplace-transform

Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.

geostatspy

Reimplementation of GSLIB, Spatial Data Analytics and Geostatistics in a Python package.

geostatspy_intro_course

Introduction to spatial data analytics and machine learning with GeostatsPy Python package

hyper-parameter_optimization

Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

infovis

latexify_py

Generates LaTeX math description from Python functions.

lina-seismic-playground

Machine Learning/ Deep Learning processing Seismic data

malenov

Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks

open-geoscience-repository

Open geoscience computing of open geoscience datasets available in open databases from Google Drive, SEG Wiki, and US DoE Geothermal Data Repository OpenEi