multimodal
14 repositories with 10k+ stars are tagged multimodal.
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- 1

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
- 2

《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码
- 3

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
- 4

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
- 5

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
- 6

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
- 7

☁️ Build multimodal AI applications with cloud-native stack
- 8

Janus-Series: Unified Multimodal Understanding and Generation Models
- 9

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
- 10

🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:https://datawhalechina.github.io/all-in-rag/
- 11

Visualize, query, and stream to train on multimodal robotics data.
- 12

Production ready toolkit to run AI locally
- 13

https://arxiv.org/abs/2606.28344. The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/
- 14

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.