Open Source Project

An open source digital human production platform designed to help users quickly create naturalistic digital human characters, dramatically reduce production costs and increase work efficiency.

Xiaomi's open-sourced 7 billion parameter inference macromodel, which outperforms models such as OpenAI o1-mini in mathematical reasoning and code competitions by a small margin.

Tencent hybrid open source voice digital human model, upload pictures and audio that generate multi-style, highly dynamic personalized dynamic video.

An open source lightweight text-to-speech model that is less than 25 MB and can run in real time on ordinary CPUs, supports a variety of natural tones and can be used offline.

The unlimited duration movie generation model introduced by KunlunWanwei team breaks through the bottleneck of the existing video generation technology and realizes high-quality, high-consistency and high-fidelity video creation.

Tencent's open source Chinese text-to-image prompt word enhancement framework that optimizes user-input prompts and improves the image quality and semantic accuracy of the generated model.

AI face swap open source project that uses deep learning techniques to achieve high quality face replacement and image processing .

Ali open source code big model, support full-flow programming and complex task planning, performance over GPT-4.1, lower cost.

Waver 1.0 is an open source full-featured video generation model that makes it easy to create text/images to HD video with efficiency, convenience and outstanding quality.

A next-generation large-scale language modeling application development framework for easily building and operating generative AI native applications.

Python-based open source AI real-time face replacement tool that supports millisecond face replacement effects and can be used in a variety of fields such as entertainment, art creation and education.

Baidu's lightweight multimodal document parsing model, with 0.9B parameters, achieves accurate recognition and structured output of complex documents in 109 languages, with world-leading performance.

Device-oriented open-source smart body framework designed to simplify the development of multimodal smart bodies and provide enhancements for various types of hardware devices.

Racer has open-sourced a text-to-image generation model called Kolors (Kotu), which has a deep understanding of English and Chinese and is capable of generating high-quality, photorealistic images.

Google's lightweight, state-of-the-art open-source models, including Gemma 2B and Gemma 7B scales, each available in pre-trained and instruction-fine-tuned versions, are designed to support developer innovation, foster collaboration, and lead to responsible use of the models through their powerful language understanding and generation capabilities.

Meta's high-performance open-source large language model, with powerful multilingual processing capabilities and a wide range of application prospects, especially in the conversation class of applications excel.

An open source text-to-speech model optimized for conversational scenarios, capable of generating high-quality, natural and smooth conversational speech.

An open source generative language model developed by Tsinghua University, designed for Chinese chat and dialog tasks, demonstrating powerful Chinese natural language processing capabilities.

Open source software development agent platform designed to improve developer efficiency and productivity through features such as intelligent task execution and code optimization.

Ali Tongyi Thousand Questions open source 20 billion parameter image generation model , specializing in Chinese and English high fidelity text rendering and complex scene detail processing , support for multi-style image generation .

Shanghai AI Lab leads the launch of a comprehensive big model research and development platform, providing an efficient tool chain and rich application scenarios to support multimodal data processing and analysis.

xAI released an open source large language model based on hybrid expert system technology with 314 billion parameters designed to provide powerful language understanding and generation capabilities to help humans acquire knowledge and information.

An AI tool developed by Peking University can automatically convert papers and text into editable PowerPoint presentations and structural diagrams. Supporting multimodal input, it efficiently addresses the challenges of scientific diagramming and converting lengthy documents into reports.

Multi-intelligent body collaboration open source framework, through the simulation of software company operation process, to achieve efficient collaboration and automation of GPT model in complex tasks.

Open source AI model with 24 billion parameters featuring low-latency optimization and imperative task fine-tuning for conversational AI, low-latency automation, and domain-specific expertise applications.

The 7 billion parameter semantic grand model based on the Transformer architecture launched by China Telecom has powerful natural language understanding and generation capabilities, and is applicable to multiple AI application scenarios such as intelligent dialog and text generation.

A powerful large-scale language model with about 7.3 billion parameters, developed by Mistral.AI, demonstrates excellent multilingual processing power and reasoning performance.

Developed by Kunlun World Wide Web, the open source big model, with 13 billion parameters and 3.2 trillion high-quality multi-language training data, has demonstrated excellent natural language processing capabilities in Chinese and other languages, especially in the Chinese environment, and is applicable to a number of domains.

An open source AI engineering optimization platform focused on AI engineering from first principles. It helps users collect, understand and use data to improve the quality of LLM (Large Language Model) applications.

Based on the GPT-4 open-source project, integrating Internet search, memory management, text generation and file storage, etc., it aims to provide a powerful digital assistant to simplify the process of user interaction with the language model.