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Slurm Exporter is a Prometheus exporter designed to scrape and expose a comprehensive range of performance and scheduling metrics from Slurm-managed clusters. It supports both CPU and GPU resource …
Go code to read cookies from browser cookie stores.
Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.
GNOME Shell extension that displays your Claude Code usage percentage
Extend Gnome Shell with advanced tiling window management. Supports multiple monitors, Windows 11 Snap Assistant, Fancy Zones, customised tiling layouts and more.
Python 3 API wrapper for Garmin Connect to get statistics and set activities
A Slurm cluster using docker-compose
Chrome extension to share your Garmin Connect workout with your friends
Educational blog posts for Rust beginners
Base for implementing a very basic NES emulator. Done for an internal presentation at King, in Dec 2021. Slides can be found here: https://slides.com/andsve/writing-a-nes-emulator
A Go library and CLI tool which simplifies calculation of Universal Scalability Law parameters given system measurements.
☁️ Choose the optimal Google Compute Engine machine type or instance in the many Google Cloud Platform regions
Master programming by recreating your favorite technologies from scratch.
A glimpse into your computer's temperature, voltage, fan speed, memory usage and CPU load.
A technical explainer by @kognise of how your computer runs programs, from start to finish.
Web Push API Encryption with VAPID support.
Breeze is/was a numerical processing library for Scala.
A Tabata training interval timer written with Flutter.
[Archived] - Merged and move to https://github.com/openflagr/flagr
Probabilistic data structures for processing continuous, unbounded streams.
Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Briand, G. Salha-Galvan, W. Bendada, M. Morlon and V.A. Tran
Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Briand, G. Salha-Galvan, W. Bendada, M. Morlon and V.A. Tran