Pinned Repositories
CaseStudiesMachineLearning
Repository for the Case Studies in NLO Machine Learning Group
examination-scheduling
corona
Some curve fitting with the SEIR model
examination-scheduling
This was a project case study on examination scheduling at the TU Munich
mytris
An open source multiplayer tetris game console.
nlp
SMP
Soft Margin Rosenblatt's Perceptron
Sompy
Self-Organizing Maps using Python and Numpy
Stochastic-Gradient-Monte-Carlo
Kolmogorov semigroups are a natural way to combine MCMC methods with Stochastic Gradient Descent.
Stochastic-Quasi-Newton
This was a project case study on nonlinear optimization. We implemented the Stochastic Quasi-Newton method, the Stochastic Proximal Gradient method and applied both to a dictionary learning problem.
wedgeCountry's Repositories
wedgeCountry/Stochastic-Quasi-Newton
This was a project case study on nonlinear optimization. We implemented the Stochastic Quasi-Newton method, the Stochastic Proximal Gradient method and applied both to a dictionary learning problem.
wedgeCountry/Stochastic-Gradient-Monte-Carlo
Kolmogorov semigroups are a natural way to combine MCMC methods with Stochastic Gradient Descent.
wedgeCountry/corona
Some curve fitting with the SEIR model
wedgeCountry/examination-scheduling
This was a project case study on examination scheduling at the TU Munich
wedgeCountry/mytris
An open source multiplayer tetris game console.
wedgeCountry/nlp
wedgeCountry/SMP
Soft Margin Rosenblatt's Perceptron
wedgeCountry/Sompy
Self-Organizing Maps using Python and Numpy