amkrajewski/nimCSO
nim Composition Space Optimization is a high-performance tool leveraging metaprogramming to implement several methods for selecting components (data dimensions) in compositional datasets, as to optimize the data availability and density for applications such as machine learning.
NimMIT
Stargazers
- adokitkat@espressif
- Archargelod
- arkanoid87
- elcritchPhoenix, AZ
- georgelemon@openpeeps @trytilda @getvasco
- hamidb80Shahed University
- hitliaomqJiangsu University of Science and Technology
- hugosenariSão Paulo, SP, Brasil
- inv2004
- jarreguitBiorobotics Laboratory - EPFL
- lukeamyers
- mashingan
- mratsim@status-im @numforge
- Optimax125
- planetis-mGreece
- ricardonpa
- rohithsrinivaasBerkeley Lab
- RushiGongPenn State University
- stephen-holoviak
- sydhosseini
- tuanductran@vnodesign
- VindaarGermany | Spain
- zikuiliuThe Pennsylvania State University