tamires-data

2016-ml-contest

Machine learning contest - October 2016 TLE

2019-CS109B

66daysofdata

DataScienceOIlandGas

facies_classification

ImageProcessing

nipype

Workflows and interfaces for neuroimaging packages

PorousMediaGan

Reconstruction of three-dimensional porous media using generative adversarial neural networks

python_for_geosciences

Introduction to python use in geosciences.

Rock_Typing_CV

This code is developed for image-based rock typing of porous media using Chan-Vese model

tamires-data/66daysofdata

tamires-data/ImageProcessing

tamires-data/2016-ml-contest

Machine learning contest - October 2016 TLE

tamires-data/2019-CS109B

tamires-data/Digital-Rock-Physics

tamires-data/featuretools

An open source python library for automated feature engineering

tamires-data/napari

napari: a fast, interactive, multi-dimensional image viewer for python

tamires-data/stockprice

tamires-data/DataScienceOIlandGas

tamires-data/365-Days-Computer-Vision-Learning-Linkedin-Post

365 Days Computer Vision Learning Linkedin Post

tamires-data/auto-sklearn

Automated Machine Learning with scikit-learn

tamires-data/Carbonate-Characterization-Jupiter-Notebook-Workflow-Modules-with-Clerkes-Arab-D-Calibration-Data

This repository uses Jupyter Notebooks to demonstrate a tried and proven workflow with the techniques as described by Phillips(1) et al. used in the characterization of most Arab D reservoirs in Saudi Arabia. Permeability, Petrophysical Rock Types (PRT), Capillary Pressure and modeled saturations are all estimated or calculated in this workflow in order to characterize this complex carbonate reservoirs, and Clerke’s(2) Arab D Rosetta Stone core analysis database is used as the calibration data.

tamires-data/CaseMachineLearning

Case para análise das capacidades de criação de modelos de risco de crédito

tamires-data/categorical-encoding

Encoding schemes for nominal categorical variables in an unsupervised setting.

tamires-data/featureengineering-

tamires-data/google-research

Google Research

tamires-data/jupyterhub

Multi-user server for Jupyter notebooks

tamires-data/Machine-Learning-Deep-Learning-Artificial-Intelligence-and-Data-Science

Machine Learning, Deep Learning, Artificial Intelligence, and Data Science

tamires-data/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

tamires-data/MacroEconomicsAnalyses

tamires-data/numba

NumPy aware dynamic Python compiler using LLVM

tamires-data/OpendTect-ML-Dev

Examples on how to develop your own Machine Learning tools and workflows

tamires-data/pycaret

An open-source, low-code machine learning library in Python

tamires-data/qiskit-terra

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.

tamires-data/QuantEcon.py

A community based Python library for quantitative economics

tamires-data/resqpy

Python API for working with RESQML models

tamires-data/scorecard

tamires-data/SpaceX-API

:rocket: Open Source REST API for SpaceX launch, rocket, core, capsule, starlink, launchpad, and landing pad data.

tamires-data/TimeSeries_Rstudio

The analysis of experimental data that have been observed at different points in time leads to new and unique problems in statistical modeling and inference. The obvious correlation introduced by the sampling of adjacent points in time can severely restrict the applicability of the many conventional statistical methods traditionally dependent on the assumption that these adjacent observations are independent and identically distributed. The systematic approach by which one goes about answering the mathematical and statistical questions posed by these time correlations is commonly referred to as time series analysis.

tamires-data/Unsupervised_Facies_Clustering

An example of carrying out unsupervised cluster analysis for facies prediction from Well Logs