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Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

  • text-recognition
  • ocr-recognition
  • domain-adaptation
  • multi-source-domain-adaptation

:ghost: GhostText plugin for Neovim with zero dependencies :tada: Supports neovim running inside WSL too! :partying_face: Windows/Linux/macOS supported out-of-the-box! :smile: (Other OSes need python3.6+ installed)

On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.

CRAB (Clean Rebuild of Anything's Behavior): rebuild software from behavior, not source code. An MCP-powered toolkit for black-box observation, clean-room reimplementation, and behavioral verification.

  • clean-room-reimplementation
  • ai-agents
  • behavioral-testing
  • black-box-testing

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

  • nlp
  • medical
  • text-mining
  • clinical-data-warehouse

TranslatedSay "¥35, not spicy, no ice" → one answer + a copyable order card. Official calculate-price only. Zero-dependency MCP skill. McDonald's ordering Skill.

Fish Audio Drama 3 text-to-speech on the TensorFold native CUDA engine for DGX Spark (GB10): recipe, engine patches, benchmarks. Built with Fish Audio.

Save up to 30% of your AI coding tokens. Scubiee turns any codebase into searchable context for your AI coding agent. A local context engine for Cursor, Claude Code, Copilot, Codex, and more: semantic search, code relationships, live sync, MCP integration, and code that never leaves your machine.

unXOR will search a XORed file and try to guess the key using known-plaintext attacks.

🐍 CLI tool to find and delete unused Python virtual environments (.venv, poetry, conda, pipenv, uv). Reclaim disk space effortlessly — supports bulk delete, size reporting, and pycache cleanup.