Sapienza University of Rome - Hugging Space

Introduction

Welcome to the Hugging Space for the Sapienza University of Rome, one of the oldest and most prestigious universities in the world. This organization is devoted to the advancement and sharing of knowledge through research and teaching. We're here on Hugging Face to provide our contributions to the world of AI and machine learning.

Our Work

In our Hugging Space, you will find various machine learning models and datasets that our researchers have developed and published. Our contributions span several subfields of AI, including but not limited to:

• Natural Language Processing (NLP)
• Computer Vision
• Reinforcement Learning
• Machine Learning Theory
• Bioinformatics and Medical AI

Our researchers are continually striving to push the boundaries of AI and ML. We collaborate across various departments within the university, including the Department of Computer Science, the Department of Information Engineering, Electronics, and Telecommunications, and many others.

Getting Started

If you're interested in utilizing our models or datasets:

1. Navigate to our models or datasets page.
2. Choose a model/dataset that suits your needs.
3. Follow the provided instructions to implement the model or use the dataset in your project.

Remember, each model and dataset might have unique usage instructions or requirements, so be sure to read through all of the provided documentation.

Contributing

We encourage contributions and collaborations. If you are a student or a researcher from Sapienza University and you want to publish your model or dataset under our organization, please access the organization through your institutional email.

Communication

For questions, comments, or issues related to specific models or datasets, please use the Issues feature on the respective model/dataset page.

Acknowledgements

We would like to acknowledge the hard work of our students, faculty, and researchers. Their passion and dedication are what makes our contributions to the AI community possible.

Disclaimer

All models and datasets in this space are provided "as is" and without any express or implied warranties. For more details, please refer to the individual licenses associated with each model/dataset.

License

Unless stated otherwise, all our contributions are under the MIT License. For more details, please refer to the LICENSE file in the root directory.

Remember, the journey of learning never ends. Enjoy exploring our space!

Last updated: May 26, 2023