Oscar Rincón's repositories
ReScience-PINNs
Replication with PyTorch of ''Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations'' by M. Raissi, P. Perdikaris, and G.E. Karniadakis from 2019.
NeuralNetworks-WavePropagation
Comparative analysis of computational modeling of acoustic wave propagation using neural network-based methods.
mech-wave-prop
Modeling of mechanical wave propagation using FEM and PINNs.
CalciumDiffusionModel
Model of calcium difusion in skeletal muscle cells
course-Power_BI
Notes and exercises taken on Power BI course
devops-capstone-project
devops-capstone-template
template-thesis-UdeA
LaTeX template for thesis manuscript development.
FBPINNs
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
jbbmo-Introduction-to-Git-and-GitHub
Introduction to Git and GitHub
ml-engineering-course
Curso introductorio a la Ingeniería de Machine Learning - Universidad de Antioquia - Instituto de Matemáticas
mystmd-quickstart
Repository to be used in the mystjs quickstart guide
oscar-rincon
Config files for my GitHub profile.
SolidsPy
2D-Finite Element Analysis with Python
specfem1d
SPECFEM1D simulates seismic wave propagation in a one-dimensional heterogeneous medium. It is a small code that allows users to learn how a spectral-element program is written.