[CVPR 2024] VCoder: Versatile Vision Encoders for Multimodal Large Language Models
Die Hauptfunktionen von shi-labs/vcoder sind: Multimodal Learning, Model Utilities.
Open-Source-Alternativen zu shi-labs/vcoder sind unter anderem: baai-dcai/visual-instruction-tuning — Scale up visual instruction tuning to millions by GPT-4. deepmind/deepmind-research — This project is an AI research implementation library and machine learning research repository. It provides a… deepseek-ai/janus — Janus is a multimodal large language model and unified framework that integrates visual understanding and image… dvlab-research/prompt-highlighter — [CVPR 2024] Prompt Highlighter: Interactive Control for Multi-Modal LLMs. fuxiaoliu/lrv-instruction — [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning. ailab-cvc/seed — Official implementation of SEED-LLaMA (ICLR 2024).
Scale up visual instruction tuning to millions by GPT-4.
This project is an AI research implementation library and machine learning research repository. It provides a collection of reference code, illustrative implementations, and open-source research datasets used to verify hypotheses and build upon existing models in artificial intelligence. The repository focuses on scientific research reproduction by translating theoretical findings from published papers into executable code. It includes specialized scientific simulation environments designed to test the behavior of autonomous agents and models within controlled settings. The project covers AI
Janus is a multimodal large language model and unified framework that integrates visual understanding and image generation within a single neural network. It functions as both a visual understanding model for analyzing images and a text-to-image generator. The system uses a unified transformer backbone and a multimodal latent space to bridge the gap between text and visual data. This architecture employs decoupled visual encoding and cross-modal tokenization to separate the paths for discriminative understanding and generative tasks, representing images as grids of discrete codes. The projec
