vision-language-model

41 proyectos comparten este topic de GitHub

Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.

🧬 Miembros

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. …

The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by…

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

Align Anything: Training All-modality Model with Feedback

One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on…

Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"

Collection of AWESOME vision-language models for vision tasks

The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs,…

InternLM-XComposer

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio…

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any…

A curated list of awesome LLM/VLM/VLA/World Model for Autonomous Driving(LLM4AD) resources (continually…

video-search-and-summarization

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for…

High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX,…

Get clean data from tricky documents, powered by vision-language models ⚡

awesome-japanese-llm

日本語LLMまとめ - Overview of Japanese LLMs

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR…

Turn documents into AI-ready Markdown with visual understanding

agent-vision-toolkit

[CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image…

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

OmniVinci is an omni-modal LLM for joint understanding of vision, audio, and language.

Evaluating text-to-image/video/3D models with VQAScore

[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization

LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images,…

Multi-Modality-Arena

Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models…

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

awesome-knowledge-driven-AD

A curated list of awesome knowledge-driven autonomous driving (continually updated)

Code for RoboFlamingo

InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy

Stream-Omni is a GPT-4o-like language-vision-speech chatbot that simultaneously supports interaction across…

Awesome-Multimodal-LLM-Autonomous-Driving

[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving

Thinking-with-Visual-Primitives

Archived snapshot of Thinking-with-Visual-Primitives

[ICML 2026] GRACE-VLM: deployable INT4 Qwen3-VL via quantization-aware distillation.

ICLR2026-Guide-CN

不想啃 5000+ 全文？我已经替你和 LLM 啃完了 — ICLR 2026 全景中文导读

NEWTON: Agentic Planning for Physically Grounded Video Generation

Evaluate visual models on your own images, JSON Schema, and production constraints with LangGraph, Pareto…

Awesome Audio-Visual Intelligence, Survey of Audio-Visual Intelligence

OmniAgent (ICML 2026): the first native omni-modal agent for active video perception — a 7B agent that…

ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model

Toy-scale unified multimodal model experiments — encoder-free understanding & generation with…

🔗 Familias relacionadas

vlm 47 video-understanding 11 apple-silicon 37 mlx 29 foundation-models 58 vision 22 multimodal-large-language-models 36 local-ai 45

Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.