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Log4r is a comprehensive and flexible logging library for use in Ruby programs. It features a heirarchical logging system of any number of levels, custom level names, multiple output destinations per log event, custom formatting, and more.

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.

⌨️🔥 Suggest new easy to hit keymaps and find issues with your current key map configurations

TranslatedBig Blue Fish desktop pet with local LLM. A Windows AI desktop pet with a built-in 4B local large model. It uses a whale-girl persona that combines weather, tech news and the current application to keep you gentle company through text bubbles. Supports one-click installation and pausing inference when off power.

  • ai-companion
  • deepseek
  • desktop-companion
  • desktop-pet

A Global event triggerer for golang. Defines functions as event with id string. Trigger the event anywhere from your project.

  • event-handlers
  • trigger

:articulated_lorry: An awesome LIN bus tools, hardware and resources. It helps a reverse engineering LIN bus devices with lightly specializing in automotive embedded controller software and communication understanding.

  • automotive
  • lin
  • lin-bus
  • ldf

INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.

Unofficial native Android port of Need for Speed: Most Wanted (Xbox Black Edition). The x86 code is statically recompiled to C++ with XboxXBE-Recomp and built for arm64, with a Vulkan renderer, SDL3, touch/controller/keyboard input, and extended graphics options. No emulator, no game assets included.

An any-snarf program that processes application protocols (HTTP/FTP/...) from tcpdump or snoop files and stores session and file data