Welcome to dev version of vocloud server – distributed parallel system for machine learning of astronomical data.

The early stages of development of this service in years 2013–2015 was supported by grant 13-08195S of Czech Science Foundation.

Its current extended version has been funded by grant COST LD-15113 of Czech Ministry of Education Youth and Sport.

Source code is available on github.

References

Koza, J. Interactive Cloud-Based Platform for Parallelized Machine Learning of Astronomical Big Data, Master's Thesis, Czech Technical University in Prague, Faculty of Information Technology, 2017, doi:10.5281/zenodo.573727, on-line: https://zenodo.org/record/573727

Koza, J. Design and implementation of a distributed platform for data mining of big astronomical spectra archives, Bachelor's Thesis, Czech Technical University in Prague, Faculty of Information Technology, 2015, doi:10.5281/zenodo.44641, on-line: https://zenodo.org/record/44641

Peterka, T. Machine Learning in Astroinformatics using Massively Parallel Data Processing, Master's Thesis, Czech Technical University in Prague, Faculty of Information Technology, 2015, doi:10.5281/zenodo.44728, on-line: https://zenodo.org/record/44728

Palička, A. Application of Random Decision Forests in Astroinformatics, Bachelor's Thesis, Czech Technical University in Prague, Faculty of Information Technology, Prague, 2014, on-line: https://dip.felk.cvut.cz/browse/pdfcache/palicand_2014bach.pdf

Lopatovský, L. Application of Self-Organizing Maps in Astroinformatics, Bachelor's Thesis, Czech Technical University in Prague, Faculty of Information Technology, Prague, 2014, on-line: https://dip.felk.cvut.cz/browse/pdfcache/lopatluk_2014bach.pdf