UnifoLM-WMA-0 - Yu Shu Technology open source world model action architecture
UnifoLM-WMA-0 is an open source world model-action architecture across multiple classes of robot ontologies by Yu Shu Technology, designed for general robot learning. Composed of a world model and an action architecture, the world model understands the physical laws of robot-environment interaction, and the action architecture is responsible for specific...
InfiniteTalk - Open Source Audio-Driven Video Generation Tool for Mission Vision AI
InfiniteTalk is an audio-driven video generation tool developed by the MeiGen-AI team that generates talking videos of unlimited length based on the input audio. The core advantage lies in the precise lip synchronization technology, which can perfectly match the audio with the character's mouth shape to generate natural and smooth...
ROMA - Open Source Meta-Agent Framework for Automatic Decomposition of Complex Tasks for Parallel Processing
ROMA (Recursive-Open-Meta-Agent) is an open source meta-agent framework developed by Sentient AGI to efficiently solve complex problems through recursive task decomposition and parallel processing. Support for Python 3.12+, Docker and ...
Lumina-DiMOO - A Multimodal Large Model Open-Sourced by Shanghai AI Lab and Huawei Ascendant
Lumina-DiMOO is a new generation of unified model for multimodal generation and understanding launched by Shanghai Artificial Intelligence Laboratory (SAL) in conjunction with Huawei Rise at the World Artificial Intelligence Conference 2025. Based on the Rise AI basic hardware and software platform and the MindSpeed MM multimodal large model suite, it accomplishes...
Hyprnote - Open source, locally prioritized AI conference note-taking tool
Hyprnote is an open source, local-first AI meeting note-taking tool designed for professionals to protect user privacy and improve meeting efficiency. Adopting the "local first" principle, all data storage and processing is done on the user's local device to ensure data security and support offline operation.
MobileLLM-R1 - Meta open source special efficient inference model series
MobileLLM-R1 is Meta's open source series of efficient inference models designed for mathematical, programming and scientific reasoning. It contains a base model and a final model, with 140 million, 360 million and 950 million parameter versions, respectively. The models are not generic chat models and are supervised fine-tuned (SFT...
ERNIE-4.5-21B-A3B-Thinking - Baidu open source reasoning thinking model
ERNIE-4.5-21B-A3B-Thinking is Baidu's open source large-scale language model focused on reasoning tasks. Using the Mixed Expert (MoE) architecture , the total number of references to 21 billion , each token activates 3 billion parameters to support 128K long context window ...
MobiAgent - Shanghai Jiaotong University open source mobile intelligent body full-stack building framework
MobiAgent is an open source mobile intelligent body toolchain from IPADS Lab of Shanghai Jiaotong University, which helps users to build their own mobile intelligent assistants. By recording the user's operation trajectory and generating high-quality data, it trains an intelligent body that can understand natural language commands. Core features include efficient...
ZipVoice - Xiaomi's open source speech synthesis model series
ZipVoice is a series of speech synthesis (TTS) models based on the Flow Matching architecture released by Xiaomi, including ZipVoice (zero-sample single-speaker speech synthesis model) and ZipVoice-Dialog (zero-sample conversational speech synthesis...
PP-OCRv5 - Baidu's open source AI model for next-generation text recognition
PP-OCRv5 is the latest generation of text recognition AI model released by Baidu. With a lightweight design and a reference count of only 0.07B, it is suitable for efficient operation on CPU and edge devices, and can process more than 370 characters per second. The model supports Simplified Chinese, Traditional Chinese, English, Japanese and Pinyin...









