multimodel

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

RMDL: Random Multimodel Deep Learning for Classification

Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.

yolov3, yolo12, dino, segmenations, face, pose, keypoints on deepstream

🧘🏻‍♂️KarmaVLM (相生)：A family of high efficiency and powerful visual language model.

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.

Open MobileUI is a production-ready, cross-platform mobile application that brings the full power of Open WebUI to iOS and Android devices. Built with React Native by zha0090, Open MobileUI transforms your self-hosted AI assistant into a native mobile experience.

End-to-End AI Voice Assistant pipeline with Whisper for Speech-to-Text, Hugging Face LLM for response generation, and Edge-TTS for Text-to-Speech. Features include Voice Activity Detection (VAD), tunable parameters for pitch, gender, and speed, and real-time response with latency optimization.

An open research platform for wearable sensing, nearby-device local multimodal inference, and local-first visual assistance.

Accepted by TMM 2022

LLM Council works together to answer your hardest questions

ArangoGraph is the easiest way to run ArangoDB. Available on AWS and Google Cloud.

The unified, OpenAI-compatible AI router. 12+ providers, 100+ models, automatic fallback. Built solo from a rented room in Peru. Star + donate to keep it alive.

开源 Android 手机自动化 Agent：用自然语言驱动多模态大模型理解屏幕、规划任务并跨应用执行操作，支持可复用 Skills。

Robust particle filter based on dynamic averaging of multiple noise models

This project is a multi-modal model that works with multiple models combined and accepts audio, images, and text as inputs, generating corresponding audio, images, and text outputs.

Papers on the topic of multimodal learning with graphs