jontateixeira Goto Github PK
Name: John C. Teixeira
Type: User
Location: Recife PE
Name: John C. Teixeira
Type: User
Location: Recife PE
A mirror of LEoPart from https://bitbucket.org/jakob_maljaars/leopart/src/master/
A Little Book of Python for Multivariate Analysis
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
A curated list of awesome resources on Thermodynamics
Bayesian nonparametric machine learning for Python
Computional Fluid Dynamics (CFD) for FreeCAD based on OpenFOAM and Fenics solver
Chaospy - Toolbox for performing uncertainty quantification.
Essential Cheat Sheets for deep learning and machine learning researchers
Carbon Capture and Sequestration (CCS) has been proposed as a promising and necessary technology for mitigating CO2 and the effects of anthropogenic climate change. Deep geological formations, like saline aquifers, are pointed out as promising areas for large-scale storage of CO2. If CCS is implemented on large scale to make noticeable reductions in atmospheric CO2, then it will require a solid scientific foundation defining the coupled hydrologic–geochemical–geomechanical processes that govern the long-term fate of CO2 in the subsurface, migration behavior of CO2, trapping mechanisms, proper utilization of methods to characterize and select sequestration sites, workflow and evaluation process, simulation methods, subsurface engineering to optimize performance, well placement, injection rate and cost, approaches to ensure safe operation, monitoring technology, remediation methods, regulatory overview, and an institutional approach for managing long-term liability. To address the above issues, we demonstrated, reviewed and developed the overall workflow of the process of CO2 sequestration in this study.
CompPhys - a Computational Physics repository
A repository that contains scripts to replicate results in the Deep UQ paper.
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Solves coupled set of poroelastic equations for subduction zone events (EQ's, slow slip, subduction)
Finite Element Multiphysics PARallel solvers. Official mirror from https://gitlab.com/fempar/fempar
Finite element toolbox for Julia
Plot your Ferrite.jl data
Demo and simple scripts using Firedrake
Generator of geological fractures
Quantification of Fracture Patterns
cell centered FVM, specifically Multi-Point Flux Approximation, for incompressible two-phase flow equation
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.
The model code for the poroelastic model assocaited with the article title "A generalized poroelastic model using FEniCS with insights into the Noordbergum effect" by Haagenson et al. published in Computers & Geosciences.
GEOSX Simulation Framework
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
FEniCS implementation of the hybrid reduced order/full‐order modeling strategy for nonlinear dynamic problems.
OpenFOAM solver for performing two-phase flow simulations on hybrid-scale porous media.
Thermodynamic stability calculation for mixed clathrate hydrates
This plugin was developed to facilitate simulation of several phenomena and scenarios in complex geometries which can not be generated and/or meshed within meshing software
Parallel solvers for sparse linear systems featuring multigrid methods.
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.