Mobile Device Management server
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Mobile Device Management server
Turn any Android device into a beautiful, dedicated Home Assistant kiosk. Purpose-built for Home Assistant from the ground up.
Pure text, CSS only, font independent, inline loading indicators
A dynamic form-building tool that allows users to create, customize, and validate forms seamlessly within web applications.
GoCQL Driver for Apache Cassandra®
The repository host gives no description.
A guide to the adventurer.
Python with braces. Because python is awesome, but whitespace is awful.
Javascript library to connect to swagger-enabled APIs via browser or nodejs
Utilize misconfigured DNS and old database records to find hidden IP's behind the CloudFlare network
Deep neural network to extract intelligent information from invoice documents.
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
Lightweight Python library for adding real-time multi-object tracking to any detector.
Cross-device clipboard sync for macOS, Windows & Linux — end-to-end encrypted, LAN-only, no cloud. OCR, CLI and MCP server built in.
[IEEE TMI Best Paper Award] Official Implementation for UNet++
TranslatedTranslators is a library that aims to bring free, multiple, enjoyable translations to individuals and students in Python.
A code rewrite tool for structural search and replace that supports ~every language.
Deep learning software for colorizing black and white images with a few clicks.
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Functional Programming concepts, examples and patterns illustrated in Haskell, Ocaml and Python
A command line tool for upgrading every outdated app installed by Homebrew Cask
Business Apps Made Simple with Asp.Net Core MVC / TypeScript
🗺️ Generate City 3D map with R3F. Include building and road information.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!