Know Your Backend is a Plugin that help your AI to generate a structured Model/View/Controller application, witouth surprise, code duplication and different modality in a different project
Official Code for OpenVLHarness: Real-World Visual Agentic ToolโUse with Multimodal Memory
๐ค 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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SGLang is a high-performance serving framework for large language models and multimodal models.
Build and run agents you can see, understand and trust.
See, hear, and interact on your local devices.
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.
"RAG-Anything: All-in-One RAG Framework"
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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)
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
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).
An open source implementation of CLIP.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
๐ๅคงๆจกๅๅบ็จๅผๅๅฎๆไธ๏ผRAG ๆๆฏๅ จๆ ๆๅ๏ผๅจ็บฟ้ ่ฏปๅฐๅ๏ผhttps://datawhalechina.github.io/all-in-rag/
Open-source framework for conversational voice AI agents
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
https://arxiv.org/abs/2606.28344. The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/
A framework to enable a multimodal model to operate a computer.
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.
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop โ all through one unified, production-ready inference API.
ModelScope: bring the notion of Model-as-a-Service to life.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Comprehensive production pipeline for quad-modal AI filmmaking with Seedance 2.0
A framework for efficient model inference with omni-modality models
Data processing for and with foundation models! ๐ ๐ ๐ฝ โก๏ธ โก๏ธ๐ธ ๐น ๐ท
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
A Next-Generation Training Engine Built for Ultra-Large MoE Models
Lord of Large Language and Multi modal Systems Web User Interface
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Superfast AI decision making and intelligent processing of multi-modal data.
Open-source multimodal retrieval engine (Morphik Core)
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Run Claude Code 100% on-device with local AI on Apple Silicon. MLX-native Anthropic-API server. 6 fighters incl. Muse-Glimmer 30B (now multimodal โ reads images, abliterated), Gemma 4 31B, Qwen 3.5 122B (65 tok/s), DeepSeek V4 Flash (1M ctx). Private, offline, airgap-ready. Built for NDA / legal / healthcare workflows.
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Make any agent harness multimodal-native.
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Images to inference with no labeling (use foundation models to train supervised models).
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
[EMNLP-2024] Build multimodal language agents for fast prototype and production
GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
๐จ NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Let Claude (or any LLM) actually watch a video โ scene-aware, deduplicated frames + transcript, from a URL or local file. Runs locally, MIT.
GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.
:superhero: :zap: django's default admin interface with superpowers - customizable themes, popup windows replaced by modals and many other features.
Extract structured data and insights from documents using LLMs and decision models
Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models (CVPR 2024 Highlight)
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.