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hyper-parameter_optimization

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

image-stitching-and-panorama

SIFT features used for stitching.

impyute

Data imputations library to preprocess datasets with missing data

interpies

A collection of functions for reading, displaying, transforming and analyzing geophysical data.

interpretacion-automatizada-de-registros-geofisicos-de-pozos

El objetivo de este proyecto es obtener un método tal que la computadora sea capaz de realizar una interpretación de registros geofísicos de manera automática y sin intervención humana alguna dado un set de datos que contenga registros geofísicos.

kaggle-tgs-salt-identification

Open Source 60th place Kaggle TGS Salt Identification Challenge

klcpd_code

Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)

las-py

A zero-dependency python library for reading/parsing canadian well-log files (.Las files)

las-py-1

Python library for parsing standard well log files (Geophysical well logs)

las-util-cpp

LAS (Log Ascii Standard v2.0) parser in c++: beta-level-software

las_converter

Python projects for well log analysis

las_pandas

lasio

Python library for reading and writing well data using Log ASCII Standard (LAS) files

lastoolbox

A LAS format toolbox

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

learn-python3

Jupyter notebooks for teaching/learning Python 3

linkedinarticles

A place to put our LinkdIn articles and notebooks.

list-of-python-api-wrappers

List of Python API Wrappers and Libraries

litho-classification

Handle classification within volcanic formation using supervised learning.

lithopy

Codes related to article 1 of the doctorate

log-alias

Synchronize log alias to be a single mnemonic

log-classification

This notebook is a demonstration of using a machine learning algorithm (support vector machine) to assign facies to well log data. Training data has been assembled based on expert core description combined with wireline data from nine wells. This data is used to train a support vector machine to indentify facies based only on wireline data. This is based on a class exercise from the University of Kansas that can be found online.

logfacies

Trying out facies classification with sk-learn

logfacies-competition-crowdanalytix

This was a competition hosted on CrowdAnalytix. Task: Multiclass classification. Predicting the type of rock formation (facies) based on gamma log values.

loglitclassifier

Modeling a lithology classifier from log data. The dataset used is a modified version of a 2016 SEG contest's by Alexsandro Cerqueira.

lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

m.sc-thesis

machine-learning-competition-2020

SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis

machine-learning-competition-2021

My personal work on the 2020 SPWLA PDDA Sonic Prediction Competition

machine-learning-competition-2022