Open Source Project

Eino is byte jumping open source, based on componentized design and graph orchestration engine of the large model application development framework.

Open source AIGC toolkit with integrated music generation, song generation, and audio generation capabilities.

NetEaseYouDao launched the first 14B lightweight model in China that supports step-by-step reasoning and explanation, designed for educational scenarios, which can help students efficiently understand complex math problems.

Developed by the DeepSeek team, it is an efficient visual language model based on a hybrid expert architecture with powerful multimodal understanding and processing capabilities.

The AI model, which is open-source under the MIT License, has advanced reasoning capabilities and supports model distillation. Its performance is benchmarked against OpenAI o1 official version and has performed well in multi task testing.

Hangzhou Depth Seeker has launched an efficient open source language model with 67.1 billion parameters, using a hybrid expert architecture that excels at handling math, coding and multilingual tasks.

An AI model developed by Fei-Fei Li's team that achieves superior inference performance at a very low training cost.

Allen AI introduces a large open source AI model with 405 billion parameters that combines multiple LLM training methods to deliver superior performance and a wide range of application scenarios.

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.

An end-to-end testing framework based on natural language processing and AI technologies which streamlines the testing process, increases testing efficiency, and lowers the testing threshold.

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.

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

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.

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

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.

Microsoft's open-source retrieval-enhanced generative model based on knowledge graph and graph machine learning techniques is designed to improve the understanding and reasoning of large language models when working with private data.

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

An open source framework for building large-scale language modeling application designs, providing modular components and toolchains to support the entire application lifecycle from development to production.

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.

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.

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

Open source sound cloning tool focused on enabling high quality, cross-language sound (especially singing) conversion.

Open source chat application tool that allows users to query and access relevant information in documents by chatting.

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.

Huawei's full-scenario deep learning framework is designed to provide full-stack AI capabilities that are easy to develop and efficient to execute, supporting the complete process from data loading and model building to training, evaluation and deployment.

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.

Unified image generation diffusion model, which naturally supports multiple image generation tasks with high flexibility and scalability.

Beijing Zhiyuan Artificial Intelligence Research Institute launched a large model containing several series with large-scale, high-precision, emergent and universal characteristics, and has been fully open-sourced.

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.

Alibaba launched a large-scale language model with multiple parameter scales from 0.5B to 72B, supporting multilingual processing, long text comprehension, and excelling in several benchmark tests.