Starred repositories
From Linux to Kubernetes: a curated, community-driven collection of free DevOps labs, challenges, and end-to-end projects—learn by doing and build real-world skills, not just read theory.
This repository provides an opinionated tutorial on building Kubernetes controllers, sharing best practices and design patterns I have found most effective
The easiest and fastest way to create and manage Kubernetes clusters in Hetzner Cloud using the lightweight distribution k3s by Rancher.
Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command!
Cluster API Provider Hetzner 🚀 The best way to manage Kubernetes clusters on Hetzner, fully declarative, Kubernetes-native and with self-healing capabilities
Detect road anomalies such as cracks, potholes, and bumps using our trained YOLOv8 models with visual demo. Real-time detection via Streamlit and Flask app
🔍 Search anyone's digital footprint across 300+ websites
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
An endless randomised algorithmic Chiptune composition by Demoscene Time Machine
Noise suppression plugin based on Xiph's RNNoise
An implementation of Shazam's song recognition algorithm.
Short examples of common anti-patterns in Go Web Applications.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
High Performace IDE for Jupyter Notebooks
A generative world for general-purpose robotics & embodied AI learning.
pure go for stable-diffusion and support cross-platform.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.
Go implementation of the yolo v3 object detection system