simonbuusjensen Goto Github PK
Name: Simon Buus Jensen
Type: User
Company: https://ambolt.io/
Bio: Computer Vision Specialist and PhD Fellow at Aalborg University
Location: Aalborg
Simon Buus Jensen's Projects
aau_bachelorproject
Datalogi bachelor projekt
autotune3dsemanticseg
This repository contains code for calculating appropriate hyper-parameters for 3D semantic segmentation of 3D Point Clouds.
code-competitions-and-exercises
Repository for coding exercises such as CodeForce, ProjectEuler, Brilliant etc.
convnext
Code release for ConvNeXt model
eth_cil_2017
A project made at ETH Zürich in the Computational Intelligence Lab Spring 2017.
eth_nlu_2017
A repository for the Natural Language Understanding Projects
guitarpracticeapp
An app for facilitating practicing guitar chords
itu_appliedalgorithm_exam
Folder for the Applied Algorithm course exam. Taken at IT University of Copenhagen December 16. 2016.
itu_individualproject_autumn_2017
Individual Project at IT University of Copenhagen autumn 2017. The project is about Object Detection Systems and their performance when tested on images with added noise.
itu_thesis_prep
A Repository for the Thesis Preparation course at IT University of Copenhagen in Spring 2017. Prediction of Protein Secondary Structure using Convolutional Neural Networks (CNN)
missingdatachallenge
Scripts for the missing data challenge 2023
name-game-shuffle
Web app for getting inspiration for child names
node-typescript-template
A plain node project template with typescript support
opentrench3d
The official repository of the OpenTrench3D dataset: A 3D Point Cloud Dataset of Open Trenches for Semantic Segmentation of Underground Utilities
pdf_splitter_merger_app
Webapp with method for uploading and splitting a PDF file or merging PDF files
python-lib-2-pkg
A project for storing an a dictionary with mappings between a python library names and python package names
superpoint_transformer
[ICCV'23] Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"
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