Open-source evaluation toolkit of large vision-language models (LVLMs), support GPT-4v, Gemini, QwenVLPlus, 40+ HF models, 20+ benchmarks
-
Updated
May 25, 2024 - Python
Open-source evaluation toolkit of large vision-language models (LVLMs), support GPT-4v, Gemini, QwenVLPlus, 40+ HF models, 20+ benchmarks
A Framework of Small-scale Large Multimodal Models
Give your computer an AI Brain
RestAI is an AIaaS (AI as a Service) open-source platform. Built on top of LlamaIndex, Ollama and HF Pipelines. Supports any public LLM supported by LlamaIndex and any local LLM suported by Ollama. Precise embeddings usage and tuning.
Class-Conditional self-reward mechanism for improved Text-to-Image models
FreeGenius AI, an advanced AI assistant that can talk and take multi-step actions. Supports numerous open-source LLMs via Llama.cpp or Ollama or Groq Cloud API, with optional integration with AutoGen agents, OpenAI API, Google Gemini Pro and unlimited plugins.
MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX.
jetson-examples running AI models and applications on NVIDIA Jetson devices with one-line command.
A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大语言模型提供更高质量、更丰富、更易”消化“的数据!
Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild
An efficient, flexible and full-featured toolkit for fine-tuning large models (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
ArchNetAI is a Python library that leverages the Ollama API for generating AI-powered content.
Pathways: multi-modal AI/ML models on discord
Add a description, image, and links to the llava topic page so that developers can more easily learn about it.
To associate your repository with the llava topic, visit your repo's landing page and select "manage topics."