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Nil Stolt Ansó's Projects

a.i.gar icon a.i.gar

An extension to the Bachelor Project of Nil Stolt Ansó and Anton Wiehe. We compare different reinforcement learning algorithms on different architectures and environments..

cmr_intensity_3dmoco icon cmr_intensity_3dmoco

We propose a method to mitigate the effect of inter-slice motion in CMR images for all SA and LA slices simultaneously by optimizing the 3D rotation and translation parameters on sampled intensities along slice intersections.

coordinate_hashtable icon coordinate_hashtable

Algorithm to split cartesian coordinate system into buckets, where objects can be stored and retrieved based on their coordinates and size.

deep_learning_2019 icon deep_learning_2019

Lab assignments for the Deep Learning course at the University of Amsterdam, April-May 2019

peregrine_mp_test icon peregrine_mp_test

A set of tests to find out how to optimally design Python parallelization using the multiprocessing module for Peregrine cluster jobs.

qualitative_reasoner icon qualitative_reasoner

A universal qualitative reasoner program created by Nil Stolt Ansó and Francesco Dal Canton

rl_rubik_cube_solver icon rl_rubik_cube_solver

My attempts at making a Rubik's cube solver (of arbitrary size) using reinforcment learning (RL) and graph neural networks (GNNs).

stylegan3 icon stylegan3

Official PyTorch implementation of StyleGAN3

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