Erik Vroon (evroon)

evroon

Geek Repo

Company:@channable

Location:The Netherlands

Home Page:https://www.linkedin.com/in/evroon

Github PK Tool:Github PK Tool

Erik Vroon's repositories

bracket

Selfhosted tournament system with web interface

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titan

3D game engine written in C++ using OpenGL

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web1090

WEB1090 serves as a dashboard for ADS-B data.

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adventofcode

Solutions to Advent of Code

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bevy-hydrology

Hydraulic erosion simulation in Bevy

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ns-api-python

Simple Python wrapper of the NS API

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atlas

Vulkan renderer

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concordia

Automated ansible setup for my machines

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mav-detection

Motion-based MAV detection using dense optical flow

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msfs-rss

RSS feed for the MSFS blog: https://www.flightsimulator.com

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redmine2gitea

Copies Redmine issues to Gitea.

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bevy-experiments

Experimenting with the Bevy engine

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AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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awesome-selfhosted-data

machine-readable data for https://awesome-selfhosted.net

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dashy

🚀 A dashboard for your homelab

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devdeck

Stream Deck control software for software developer's.

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evroon

My profile README

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fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

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github-pycharm

Opens GitHub files in PyCharm

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mask-rcnn

Mask-RCNN applied to DTU Maritime dataset for the autonomous navigation of vessels through image segmentation

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nodemcu-plant-monitor

NodeMCU project that monitors the state of a plant

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pyjwt

JSON Web Token implementation in Python

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python-template

Template repo for python projects

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pytorch-liteflownet

a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

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selfoss-discord

Send RSS updates from Selfoss to Discord

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semantic-segmentation

Nvidia Semantic Segmentation monorepo

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standhub

Standup tool for Github

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website-pieter

Website of Pieter Vroon

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wg-easy

The easiest way to run WireGuard VPN + Web-based Admin UI.

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yolov4

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

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