Starred repositories
Anthropic's Interactive Prompt Engineering Tutorial
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser, Xcode, Trae AI, Cluely & Orchids.app (And other Open Sourced) System Prompts, Tools & AI M…
ACE-Step: A Step Towards Music Generation Foundation Model
Cost-efficient and pluggable Infrastructure components for GenAI inference
rabiloo / ethery
Forked from continuedev/continue⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks
⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of rules, tools, and models
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
Python tool for converting files and office documents to Markdown.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
Get your documents ready for gen AI
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing (ICLR 2025)
Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop
Filter out duplicates on the command line. Replacement for `sort | uniq` optimized for speed (10x faster) when sorting is not needed.
A turnkey MLOps pipeline demonstrating how to go from raw events to real-time predictions at scale.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
An awesome & curated list of best LLMOps tools for developers
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
No fortress, purely open ground. OpenManus is Coming.
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation