parthatalukdar/junto
This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms. Currently, three algorithms are implemented: Gaussian Random Fields (GRF), Adsorption, and Modified Adsorption (MAD). Junto also contains Hadoop-based implementations of these three algorithms.
JavaApache-2.0
Stargazers
- ahtgrammarly.com
- andrewyatesUniversity of Amsterdam
- angelohSanta Clara, CA
- apittsPolinode
- appanpQuadrinous
- ceekzUniversity of Tsukuba
- charlespunk
- chbrownNew York, NY
- DigoCarnegie Mellon University
- doppioslashLiverpool, UK
- eponvertAustin, Texas
- eskiles
- filannimPrometeia, MIT CSAIL, SUNY
- hitalexInstitute of Automation, Chinese Academy of Sciences
- jimwhiteIFCX
- jodaiberSan Francisco, United States
- josemfSelf Employed
- josephreisingerFacet.ai
- khangichmlengineer.io
- krivardPittsburgh
- kumarishanBengaluru
- lazyval@spotify
- luzilon1
- malcolmgreaves@NVIDIA
- matthiasnHamburg & Berlin, Germany
- msiahbaniSimon Fraser University
- pablomeloConnecorp
- parthatalukdar
- pmanggAmsterdam, the Netherlands
- shawgroundAlibaba
- swhgoon
- TankiitVUB
- theq629Taipei, Taiwan
- VanessaDSan Jose, CA, USA
- yoeharaTokyo Gakugei University
- yv