🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
SGLang is a high-performance serving framework for large language models and multimodal models.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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
☁️ Build multimodal AI applications with cloud-native stack
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
Janus-Series: Unified Multimodal Understanding and Generation Models
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
🚀 Truly open-source AI avatar(digital human) toolkit for offline video generation and digital human cloning.
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).
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Visualize, query, and stream to train on multimodal robotics data.
Production ready toolkit to run AI locally
A framework to enable a multimodal model to operate a computer.
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.