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A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  • machine-translation
  • speaker-recognition
  • asr
  • tts

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

TranslatedDeepSeek Harness jailbreak: lets every model be jailbroken, and different models can use different prompts; the default prompt targets the domestic Chinese model "小码酱" (Xiaomajiang, "little code sauce"). Jailbreak for every model — swap prompts per model. Please give a Star and bookmark ⭐ If you want to make a secondary development, please see the attribution requirements section

  • dsh-plugin
  • dsh-plugins
  • llm-jailbreak
  • harness-jailbreak

Janus-Series: Unified Multimodal Understanding and Generation Models

  • any-to-any
  • foundation-models
  • llm
  • multimodal

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

  • csharp
  • java
  • javascript
  • mcp

Translated🏛️ 三省六部制 (Sansheng Liubu Zhi, "Three Departments and Six Ministries system") · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails

Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.