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ast1100

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

computational-physics

Different numerical projects in Physics (and numerical mathematics)

computational-physics2

Numerical solutions to Quantum mechanical systems. First project is solved by using monte carlo and second part is the same problem, but using machine learing (Neural network, boltzmann machines).

fys-stk4155

Applied Data Analysis and Machine Learning. The course introduces a variety of central algorithms and methods essential for studies of data analysis and machine learning. The course is project based and through the various projects, the students will be exposed to fundamental research problems in these fields, with the aim to reproduce state of the art scientific results. The students will learn to develop and structure large codes for studying these systems, get acquainted with computing facilities and learn to handle large scientific projects. A good scientific and ethical conduct is emphasized throughout the course

fys2130

fys4411-

Computational Physics 2

image_processesing

in4200-high-perfomance-computing-

IN4200 High Perfomance Computing in C. This is a master course at UiO.

in5270

Numerical methods for partial differential equation

in5400

Master course in machine learning on image analysis. In this course we used the python library pytorch

in5520

IN5520 Digital image proccessing. In this course we are learning various methods for preprocessing data and images.

tmp