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Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)
SIFT features used for stitching.
Data imputations library to preprocess datasets with missing data
A collection of functions for reading, displaying, transforming and analyzing geophysical data.
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.
Open Source 60th place Kaggle TGS Salt Identification Challenge
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
A zero-dependency python library for reading/parsing canadian well-log files (.Las files)
Python library for parsing standard well log files (Geophysical well logs)
LAS (Log Ascii Standard v2.0) parser in c++: beta-level-software
Python projects for well log analysis
Python library for reading and writing well data using Log ASCII Standard (LAS) files
A LAS format toolbox
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Jupyter notebooks for teaching/learning Python 3
A place to put our LinkdIn articles and notebooks.
List of Python API Wrappers and Libraries
Handle classification within volcanic formation using supervised learning.
Codes related to article 1 of the doctorate
Synchronize log alias to be a single mnemonic
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.
Trying out facies classification with sk-learn
This was a competition hosted on CrowdAnalytix. Task: Multiclass classification. Predicting the type of rock formation (facies) based on gamma log values.
Modeling a lithology classifier from log data. The dataset used is a modified version of a 2016 SEG contest's by Alexsandro Cerqueira.
Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis
My personal work on the 2020 SPWLA PDDA Sonic Prediction Competition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.