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100 Days of ML Coding
Machine learning contest - October 2016 TLE
Three data analytics party tricks, March 2017
FORCE 2020: Machine Predicted Lithology
Email Newsletter
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
The purpose of this repo is to reconstruct 3D Seismic attributes using Python.
A Python toolkit for rule-based/unsupervised anomaly detection in time series
人工智能在石油测井上的应用包括采用机器学习,深度学习等相关方法进行岩性识别与相关测井曲线的回归。The application of artificial intelligence in well logging includes the use of machine learning, deep learning and other related methods for lithology identification and regression of related well logging data.
This is for AI prediction using seismic attributes
In this repository we interrogate petrophysical log data using Python's Interactive Altair
Anomaly Screening Applying Pseudowells (ASAP). FORCE Hackathon, Stavanger 18-19 September 2018.
This script uses segpy to convert ascii files to segy
Pytorch implementations of "Automatic Seismic Interpretation" publications and repositories
Image augmentation library in Python for machine learning.
Automated Machine Learning with scikit-learn
This is the repository for the Auto-BEL implementation in Python
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
PCA is a statistical method used to reduce the number of variables of large-dimensional data for better analyzing multivariable problems
Prototyping an Automatic Seisimic-to-Well tie using Dynamic Time Warping
Interactive Jupyter notebook to explore AVO effects and AVO classes.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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.