Python

Tools for managing builds, indexes, updates, and deployments for F-Droid repositories.

1000+ DevOps Bash Scripts - AWS, GCP, Kubernetes, Docker, CI/CD, APIs, SQL, PostgreSQL, MySQL, Hive, Impala, Kafka, Hadoop, Jenkins, GitHub, GitLab, BitBucket, Azure DevOps, TeamCity, Spotify, MP3, LDAP, Code/Build Linting, pkg mgmt for Linux, Mac, Python, Perl, Ruby, NodeJS, Golang, Advanced dotfiles: .bashrc, .vimrc, .gitconfig, .screenrc, tmux..

GEMSEO plugin for FMU dynamic models.

Collection of scripts for editing in vocadb.net

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

⚙️ python api for tmux, https://libtmux.git-pull.com

Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization.

Dirty Data: Take a „broken" dataset (with nulls, duplicates, typos,...) and clean it collaboratively to produce a prestine dataset. (Dirty Dataset to practice Data Cleaning)

Work Flow Maintainer: Sets up repo, protects the main branch and manages the Issue Board Null Remove: Writes code to identify and impute missing values Outlier Detection: Uses techniques like boxplots to identify and flag statistical outliers Standardizer: Fixes string inconsistencies Visualizer: Creates,,before vs. after" histograms to prove the data structure hasn't been ruined Quality Assurance: Reviews every Merge Request to ensure the cleaning code doesn't delete valid data

GitLab AI Gateway is a standalone-service that will give access to AI features to all users of GitLab, no matter which instance they are using: self-managed, dedicated or GitLab.com.

Convert PDF/EPUB files into a format readable by https://github.com/mihonapp/mihon

Python-Gimp Astronomy Plugin by M27

Learning infrastructure automation with LXD.

Mirror of the Python Code Quality Authority's Astroid project

Dimensionality Reduction and Classification Methodology

Load the MNIST dataset of handwritten digits Perform the dimensionality reduction methods that were introduced in the lecture: (a) PCA (b) IsoMap (c) Local Linear Embedding (LLE) (d) t-distributed stochastic neighbor embedding (t-SNE) (e) Uniform maniforld approximation and projection (UMAP) Reduce the dimensionality to d = 2 dimensions and plot the results Use the low dimensional representations to perform unsupervised clustering with k-means. Use k =10 classes for the clustering algorithm Classify all images according to the clustering. Choose the label based on how many the majority of datapoints within a cluster

This project is not working on GitLab any more (I keep this project around for CI and to avoid cybersquatting). For all project needs visit the SourceHut page.

PatchVec — A lightweight, multi-model, pluggable vector search microservice with embedded document ingestion.

Upload → chunk → index (with metadata) → search via REST and CLI, with access fine grained by multi-tenant collections.

This project leverages GitLab's DevOps platform to demonstrate the seamless integration of development, security, and operations in deploying a cloud-native application. It highlights GitLab CI/CD pipelines and security scanning, showcasing a streamlined, secure software delivery process.

Free repository of cryptography-related data.