向量实验室 & 向量工作室 | 西南石油大学 · 四川大学 · 郑州大学 · 上海大学 · 南京理工大学 · 南京航空航天大学

TensorHub 是一个跨多所高校的开源与开发组织，由数学、计算机及人工智能专业的研究生与本科生共同组成。

TensorHub is an open-source and development organization spanning multiple universities, consisting of graduate and undergraduate students majoring in mathematics, computer science, and artificial intelligence.

我们致力于学术探索、算法研究、竞赛创新、工程实践与开源贡献，为AI与数据科学爱好者打造专业的交流与研究平台。

We are dedicated to academic exploration, algorithm research, competition innovation, engineering practice, and open-source contributions, establishing a professional communication and research platform for AI and data science enthusiasts.

• 机器学习与深度学习

  • 经典算法优化、深度神经网络架构设计、模型训练与部署、轻量化模型开发。
  • Classical algorithm optimization, deep neural network architecture design, model training and deployment, and lightweight model development.

• 数学建模与数据科学

  • 统计分析、数值计算、数据挖掘、预测建模、大数据处理与可视化。
  • Statistical analysis, numerical computation, data mining, predictive modeling, big data processing, and visualization.

• 智能应用领域

  • 计算机视觉、自然语言处理、时间序列分析、跨学科AI应用开发。
  • Computer vision, natural language processing, time-series analysis, and interdisciplinary AI application development.

• 竞赛与学术科研

  • 商业竞赛、数学建模、AI创新大赛、科研项目、学术论文撰写与创新成果转化。
  • Business competitions, mathematical modeling, AI innovation contests, scientific research projects, academic paper writing, and translation of innovative outcomes.

• 开源项目开发

  • 开源算法库、项目实战模板、技术教程、代码共享与社区共建。
  • Open-source algorithm libraries, practical project templates, technical tutorials, code sharing, and community co-construction.

汇聚不同高校的优秀成员，探索人工智能与数据科学前沿，推动数学理论与智能技术的深度融合，倡导学术交流与技术创新，为全球开发者和学术社区打造高质量的开源项目与研究成果。

We bring together talented members from various universities to explore the frontiers of AI and data science, promote the deep integration of mathematical theory and intelligent technology, encourage academic exchange and technical innovation, and deliver high-quality open-source projects and research outputs to the global developer and academic community.

我们欢迎国内外高校、科研团队、开发者及AI爱好者与我们开展技术交流、学术合作、项目共建与经验分享。

We welcome technical exchanges, academic collaborations, joint project development, and experience sharing with universities, research teams, developers, and AI enthusiasts worldwide.