database_consistency
The tool to avoid various issues due to inconsistencies and inefficiencies between a database schema and application models.
HYSEN LABS VERZEICHNIS
Kuratierte Repositories mit präziser Taxonomie, geprüften Metadaten und praktischem Kontext.
The tool to avoid various issues due to inconsistencies and inefficiencies between a database schema and application models.
Powerful and easy to use cms to build websites, blogs or ecommerce stores.
Collection of various algorithms implemented in R.
Global DNS propagation checker TUI — watch a DNS record propagate across 34 public resolvers worldwide, on a world map in your terminal
Agent skill that turns Claude Code / Codex into a motion-design studio for voiceover-driven explainer videos — word-level voiceover sync, 109 motion recipe cards, an anti-slideshow camera system, Remotion rendering.
A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.
🛠️ Self-Hosted ephemeral macOS CI on Apple Silicon
25× faster drop-in replacement for `cn`
Arma: Cold War Assault Remastered Source Code Repository.
AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
AI-powered code assistant for Vim. OpenAI and ChatGPT plugin for Vim and Neovim.
list of awesome platforms, tools, and resources run for LLMs locally
Build your own Cowork, AI Scientist and other SoTA Agents just by editing config files. Support anthropic skills. An infinite-horizon agent framework designed for long-running, complex tasks.
LLM powered development for Neovim
Projektüberblick: Die Kollaborationsebene für Ihre KI-Belegschaft. Führen Sie ein Team von KI-Agenten, die sich per E-Mail koordinieren, den Speicher teilen und mit jeder Aufgabe besser werden.
📆 Calendar app for Nextcloud
An app to help you capture thoughts and ideas
Self-hosted invoicing without the bloat.
Oxen-AI/Oxen bietet eine praxistaugliche Open-Source-Implementierung mit stabiler Einsatzbarkeit für reale Anwendungsfälle.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.