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Name: Walter Gonzalez Eslava
Type: User
Bio: Geophysical Engineer (USB) with Master Degree in Earth Sciences (Applied to Petroleum Geosciences) and Data Sciences Specialization (ITBA - on course)
Name: Walter Gonzalez Eslava
Type: User
Bio: Geophysical Engineer (USB) with Master Degree in Earth Sciences (Applied to Petroleum Geosciences) and Data Sciences Specialization (ITBA - on course)
Machine learning contest - October 2016 TLE
Three data analytics party tricks, March 2017
2 day short course.
Code to recreate the tutorial and figures in the book chapter.
Code and hyperparameters for the paper "Generative Adversarial Networks"
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
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
Schematics and diagrams that explain Artificial Intelligence
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 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.
Workshop Big Data en Español
Geophysics library with various helpful functions
Curso Python 2022
Official Matplotlib cheat sheets
Proyecto de Seminario Intensivo de la Especialización de Ciencia de Dato ITBA
Data Visualization with Python
Deep Denoising Autoencoder for Seismic Random Noise Attenuation
Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
Reimplementation of GSLIB, Spatial Data Analytics and Geostatistics in a Python package.
Introduction to spatial data analytics and machine learning with GeostatsPy Python package
Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
Generates LaTeX math description from Python functions.
Machine Learning/ Deep Learning processing Seismic data
Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks
Open geoscience computing of open geoscience datasets available in open databases from Google Drive, SEG Wiki, and US DoE Geothermal Data Repository OpenEi
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.