Lists (4)
Starred repositories
McKinsey-style consulting frameworks as Claude Skills - SCPR, MECE, Issue Trees & more
LLM-managed skills platform using MCP - create, edit, and execute skills programmatically in Claude, Cursor, and any MCP-compatible client without manual file uploads.
This is a plugin repo for visualizing vlmrun capabilities using voxel51 userfriendly UI and capabilities
GenAI Agent Framework, the Pydantic way
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.
✨ Build a machine learning model from a prompt
Python Debuger tool for Smolagents
A sophisticated system that uses multiple AI agents to research, create, and polish video scripts for social media platforms. The system employs specialized agents for research, script writing, pol…
Reflexion Agent implementation based on the smolagents library
We ❤️ smolagents - Building Agents Approaches ... to solve use-cases
🤗 smolagents: a barebones library for agents that think in code.
Exploring Agno framework for building AI agents.
xlskubectl — a spreadsheet to control your Kubernetes cluster
A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
Official n8n custom node for VLM Run
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
✨✨Latest Advances on Multimodal Large Language Models
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
A hub for various industry-specific schemas to be used with VLMs.
The /llms.txt file, helping language models use your website
Composable building blocks to build LLM Apps
A high-throughput and memory-efficient inference and serving engine for LLMs
Examples and guides for using the VLM Run API
The official Python library for the OpenAI API
Project Page for "LISA: Reasoning Segmentation via Large Language Model"