Kari Lovise Ness's repositories
Predictions-of-thermal-fields-in-additive-manufacturing
Predicting Thermal Fields in AdditiveManufacturing by FEM simulations andMachine Learning
ml-iter-additive
An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process
Non-linear-Finite-Element-Methods
Exercises for the course TKT4197
Algorithms-and-datastructures
TDT4120 - fall 2018
CodeWars
Coding challenges done for fun at my spare time :) https://www.codewars.com/users/karilov/completed_solutions
Object-Oriented-Programming
TDT4100
Visual-Computing-Fundamentals----Image-processing
Second part of the course TDT4195
Bob_Ross_Paintings
Dataset: All Bob Ross paintings
Database-Prosjekt2019
Database project done in the course TDT4145
Introduction-to-AI
TDT4136
Machine-Learning
Exercises for TDT4173
Materials-mechanics
TKT4135
MNF_VBNN
Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
NoisyNaturalGradient
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
Numerical-Methods
Exercises done in the course TKT4140, spring 2018
pyConvexHull3D
Python implementation of the randomized incremental 3D convex hull algorithm using a dict-based DCEL, with optional matplotlib animation.
SEVDL_MGP
Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors", Christos Louizos & Max Welling, ICML 2016
TDT4140
App made in TDT4140 Software Engineering, with group 67
tutorials
Tutorials on neural networks, Python and dissipative particle dynamics