A plug-and-play multi-object tracking (MOT) Python library offering modular implementations of classic algorithms like SORT and ByteTrack. Features a detector-agnostic design compatible with any object detection model (YOLO, DETR, etc.), supporting video files, cameras, RTSP streams, and more. Provides unified CLI tools and Python API with built-in evaluation metrics (CLEAR, HOTA, Identity).
A production-ready implementation of InvisPose that enables real-time, camera-free full-body tracking through walls using commodity WiFi mesh routers and CSI signals, with advanced analytics like fall detection and multi-person tracking.
Microsoft's family of open-source frontier voice AI models including both Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) models, designed for long-form audio processing with multilingual support.
A project focused on TTS generation models, providing an API server and Gradio-based WebUI with support for multiple voice synthesis, voice cloning, and audio enhancement capabilities.
A curated list of embodied AI research papers maintained by the Human Communication and Perception Laboratory at SYSU, providing researchers with the latest academic findings in the embodied intelligence field.
A video content discovery tool developed by Microsoft that uses deep learning technology to automatically identify and extract key content from videos, helping users efficiently browse and understand video information。
LLaVA-Plus is a multimodal assistant system that learns to use tools, combining large language models with visual capabilities to enable AI agents to perform general vision tasks.
A comprehensive collection of learning notes covering multiple courses including PyTorch and deep learning, focused on computer vision and natural language processing with accompanying video explanations and example datasets。
A text-to-speech model optimized for dialogue scenarios like LLM assistants, supporting mixed Chinese and English input. It generates natural and expressive speech with fine-grained control over prosodic features like laughter and pauses.
VoxCPM is an end-to-end Text-to-Speech (TTS) system built on continuous space modeling, eliminating the need for discrete tokenization. It delivers context-aware, expressive speech generation and enables true-to-life zero-shot voice cloning using short audio clips, making it ideal for high-quality voice synthesis and dubbing applications.
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