tueboesen Goto Github PK
Name: Tue
Type: User
Company: University of British Columbia
Bio: Machine learning specialist
Location: Vancouver
Tue's Projects
a-optimal-active-learning
A-optimal active learning framework.
boardgame_ai
A general framework made for training neural networks on boardgames.
cmip6
A convenient way to download cmip6 data
constrained-neural-networks
This project provides a novel combination of the field of differential algebraic equations and deep neural networks, and this combination enables us to add constraints to neural networks. We explore various constraint methods and compare their strengths and weaknesses.
cv
My CV.
hive
A project that seeks to code ud the boardgame hive and train a neural network to play it
lapnet
A laplacian network made in Julia
mean-teacher
A state-of-the-art semi-supervised method for image recognition
multi-body-pendulum
A module for simulating multi-body pendulums
package_builder
A module for simulating multi-body-pendulums
parallelization-framework
An OpenMP parallelization framework developed by me during my PhD
sparse-iterative-parallel-linear-solver
This is a sparse iterative parallel linear solver I developed during my PhD. The solver works by splitting the matrix into blocks which are then solved in parallel. The solver assumes the input matrix to already have been ordered by a Reverse Cuthill-Mckee reordering algorithm.
ssl-clustering
A simple example of semi-supervised clustering with constraint.
tueboesen
Config files for my GitHub profile.
tuenet
A neural network for unsupervised learning
vilinus
Warhammer campaign (realtime graph theory at work)
warhammer-statistics
A simple project that contains some tools for calculating warhammer 40k statistics. Usefull determining likelihood and probabilities for various dice roll outcomes
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