NOMAD: A distributed web-based platform for managing materials science research data
NOMAD: A distributed web-based platform for managing materials science research data - Published in JOSS (2023)
https://github.com/carlos-alberto-silva/archi
R package aRchi. Tree architecture from terrestrial laser scanning (TLS) data
https://github.com/carlos-alberto-silva/adqsm
AdQSM is a new tree quantitative structure model (QSM) that can reconstruct the 3D branch geometry of individual tree from Terrestrial Laser Scanning (TLS) point clouds. Many attributes of the trunk or branch can also be quantitatively calculated (as shown in the table below). For example, tree volume (trunk and branch), DBH and tree height parameters can be extracted directly. It allows point clouds collected by different sensors to serve as input point clouds. In addition to TLS, UAV LiDAR, mobile LiDAR, SLAM and even photogrammetry are also included under the premise of appropriate point cloud density.
https://github.com/carlos-alberto-silva/rlvis
rLVIS: An R Package for Reading, Processing and Visualizing Land, Vegetation, and Ice Sensor (LVIS) Level1b and Level2 data
https://github.com/carlosaduranvillalobos/learninggithub01
Sample wiki to learn Github
https://github.com/carlosholivan/deeplearningmusicgeneration
State of the Art of Music Generation with Deep Learning and AI
https://github.com/carlosmunozmoncayo/abcs-piston
Reproducibility repository for the paper "Efficient absorbing boundary conditions for conservation laws: Application to the piston problem of gas dynamics"
https://github.com/carlosmunozmoncayo/lava-flow-simulations-with-finite-volumes
Final Project for AMCS 333 at KAUST: Hyp. Cons. Laws and Godunov Type Methods