Bart van Oort's repositories

mllint

`mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.

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mixxx-folders2crates

Small application to convert my music library folder structure to 'crates' in the open-source DJ software Mixxx: https://github.com/mixxxdj/mixxx

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mllint-example-projects

Example projects for `mllint`: https://github.com/bvobart/mllint

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ceiLED

CeiLED is software that I wrote in order to control the three LED strips on my room's ceiling, connected to a little server through a PCA9685 PWM controller. Much more powerful than one of those Chinese RGB remote controls :)

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ES-RobotLab

Robot lab for the course TI2726-B Embedded Software, TU Delft.

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Pioneered

Pioneer inspired theme for smaller screen resolutions

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rtems-demo

Interactive demo for the RTOS survey assignment in the Real-Time Systems course of 2020 at TU Delft.

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cs4110-concolic-learning

Repository for repeating our experiments done during assignment 2 of the CS4110 Software Testing and Reverse Engineering course of 2018.

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firefox-nativefy

Turn websites into "native" applications with Firefox (Linux-only)

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pi-dj

An operating system to turn your Raspberry Pi 4 into a standalone, portable DJ controller

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awesome-seml

A curated list of articles that cover the software engineering best practices for building machine learning applications.

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cs4110-coverages

Collection of test coverage and mutation coverage reports for assignment 1 of the Software Testing and Reverse Engineering course of 2018.

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gocover-cobertura

golang : go tool cover to XML (Cobertura) export tool.

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gql-client-preset-swc-jest-issue

Minimum Reproducible Example for a code transformation issue with `@graphql-codegen/client-preset-swc-plugin`

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graphite_exporter

Server that accepts metrics via the Graphite protocol and exports them as Prometheus metrics

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material-ui

MUI (formerly Material-UI) is the React UI library you always wanted. Follow your own design system, or start with Material Design.

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ml-drift-detection-kubernetes

Created during MLE Chapter day in an attempt to try and run the code from this article: https://towardsdatascience.com/production-machine-learning-monitoring-outliers-drift-explainers-statistical-performance-d9b1d02ac158

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msi-keyboard-gui

The First fully featured GUI MSI Keyboard controller for Linux

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rtems-docker

Dockerfiles for building RTEMS and RTEMS applications

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taiko

A node.js library for testing modern web applications

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