Hi, I am an third year (Junior) undergraduate student at the Indian Institute of Technology, Kanpur at the Department of Computer Science and Engineering.I am highly interested in participating in GSoC on the offering 'Quantum Gaussian Mixture Models'.
I have already implemented GMM(full batch) and it's online version(stepwise EM) from scratch on MNIST dataset. Please look at my github account <https://github.com/subham913?tab=repositories>.I have done and currently doing several courseworks in Machine Learning and have also read a number of research papers pertaining to fields like EM,Gaussian Processes, Latent Variable Models(LVMs) and Inference in LVMs for locally conjugate models,VI for non-conjugate models,Stochastic and Online VI for scalability, MCMC etc. I went through the suggested paper(Quantum Clustering and Gaussian Mixture) and it interested me a lot.Apart from what already has been suggested on the ideas page I would also try implementing its scalable version.Please let me know if it's interesting and would be feasible. Thanks and regards, Subham Kumar Undergraduate Student Computer Science and Engineering Indian Institute of Technology, Kanpur
_______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
