Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
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.
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.
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.
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.
Robust particle filter based on dynamic averaging of multiple noise models
Secure local-first desktop layer for OpenClaw featuring voice, canvas, and hardened security guardrails.