mendezVKI

von Karman Institute for Fluid Dynamics

Pinned Repositories

A3C-Continuous
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
Language:Python0 1 00
hpc-python
Python in High Performance Computing
Language:Python3 0 02
jmax
Johns customizations to maximize emacs
Language:Emacs Lisp0 0 00
Lecture_10_VKI_PIV_PTV_LS
This repository contains all the exercises linked to the Lecture 10 'Statistical Treatment, Fourier and Modal Decompositions' given in the framework of the VKI Lecture series 'Fundamentals and recent advances in Particle Image Velocimetry and Lagrangian Particle Tracking', held at the von Karman Institute from November 15 to November 18 2021.
Language:Python9 1 14
mendezVKI.github.io
Website under development
Language:JavaScript0 1 01
MODULO
MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and experimental data using the mPOD.
Language:Python83 9 1230
PIV_LS_2024_Signal
This repository collects the files for the lecture "Statistical Methods and Modal Decompositions for Gridded and Scattered Data" given at the VKI lecture series "Particle Image Velocimetry"
00
SPICY_VKI
The repository contains the codes linked to the SPICY project (Super-resolution and Pressure from Image Velocimetry)
Language:JavaScript10 2 54

mendezVKI/MODULO
MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and experimental data using the mPOD.
Language:Python83 9 1230
mendezVKI/SPICY_VKI
The repository contains the codes linked to the SPICY project (Super-resolution and Pressure from Image Velocimetry)
Language:JavaScript10 2 54
mendezVKI/Lecture_10_VKI_PIV_PTV_LS
This repository contains all the exercises linked to the Lecture 10 'Statistical Treatment, Fourier and Modal Decompositions' given in the framework of the VKI Lecture series 'Fundamentals and recent advances in Particle Image Velocimetry and Lagrangian Particle Tracking', held at the von Karman Institute from November 15 to November 18 2021.
Language:Python9 1 14
mendezVKI/hpc-python
Python in High Performance Computing
Language:Python3 0 02
mendezVKI/A3C-Continuous
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
Language:Python0 1 00
mendezVKI/jmax
Johns customizations to maximize emacs
Language:Emacs Lisp0 0 00
mendezVKI/mendezVKI.github.io
Website under development
Language:JavaScript0 1 01
mendezVKI/PIV_LS_2024_Signal
This repository collects the files for the lecture "Statistical Methods and Modal Decompositions for Gridded and Scattered Data" given at the VKI lecture series "Particle Image Velocimetry"
00