andresgm
Associate Professor of Mechanical Engineering. Bogotá. (engineering, education)
Universidad de los AndesBogotá, Colomibia
Pinned Repositories
18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
andresgm.github.io
andresgm.org
archive-tweets
Update a local archive of your tweets.
CFDML
Machine Learning Tools for CFD
CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Herramientas-Computacionales
IMEC3602 Semestre 201820
IBMlb-poiseuille
Immersed Boundary Method - Lattice-Boltzmann Method
pyStokes
Implementación en Python de algoritmos para la simulación de células y partículas deformables en suspensión usando el método de Lattice-Boltzmann, elementos finitos y el método de la frontera inmersa (IBM - Immersed Boundary Method)
Stokes-Multiflow
Matlab routines for solving the Stokes flow equations using the boundary integral formulation.
ua-IMEC4600-finite-differences
andresgm's Repositories
andresgm/ua-IMEC4600-finite-differences
andresgm/18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
andresgm/andresgm.github.io
andresgm.org
andresgm/CFDML
Machine Learning Tools for CFD
andresgm/cno_solar
andresgm/ua-imec2001-hc-202210
IMEC2001 Herramientas Computacionales 202210
andresgm/CNNs_PINNs_Simnet
andresgm/CNOSolarROS2
andresgm/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
andresgm/efficientPINN
This is a Physically Inferred Neural Networks implementation that speeds up convergeance through the use of better placed points
andresgm/FluidX3D
The fastest and most memory efficient lattice Boltzmann CFD software, running on any GPU via OpenCL.
andresgm/forecasting_lstm
Este repositorio cuenta con el codigo fuente y los archivos del proyecto Análisis Y Predicción De Radiación En Sistemas Fotovoltaicos Haciendo Uso De Machine Learning realizado por Alejandro Herrera Jimémenz como proyecto de grado de Ingeniería Mecánica, Universidad de los Andes
andresgm/NSFlux.jl
Navier-Stokes equations solver using Physics Informed Neural Networks in Julia using Flux.jl
andresgm/oemof-examples
A collection of oemof examples and notebooks.
andresgm/oemof-solph
A model generator for energy system modelling and optimisation (LP/MILP).
andresgm/oemof-thermal
Thermal energy components for the Open Energy Modeling Framework (oemof).
andresgm/PhiFlow
Research-oriented differentiable fluid simulation framework
andresgm/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
andresgm/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
andresgm/pinns_mapi-3
Repositorio con el material para el taller sobre PINNs en MAPI-3 2024
andresgm/python-fitparse
Python library to parse ANT/Garmin .FIT files
andresgm/RayTracingWeekend.jl
Ray Tracing in a week-end, implemented in Julia
andresgm/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
andresgm/SeguidorBiaxial_Monitoreo
andresgm/SkyImFeatures
Process and extract features from SkyIm camera
andresgm/Solver-in-the-Loop
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
andresgm/stokesML
Algorithms for solving the flow of deformable particles in Stokes flow.
andresgm/tespy
Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.
andresgm/ua-imec1201-tf1-202420
Material curso Termofluidos 1 IMEC Uniandes 202420
andresgm/ua-imec2001-hc-202410-s3
Herramientas Computacionales sec03 202410-ciclo2