OpenBMB is a comprehensive open-source library and toolkit designed for the development and deployment of large-scale pre-trained language models.

NumPy is the core library for scientific computing in Python, enabling high-performance operations on large, multi-dimensional arrays and matrices.

An open-source observability platform designed to monitor machine learning models, detect data drift, and evaluate model performance in production.

An open-source, interactive textbook and course designed to bridge the gap between deep learning theory and practical implementation.

An industrial-grade open-source deep learning platform that provides a comprehensive set of tools for building and deploying large-scale AI models.

A flexible and scalable open-source deep learning framework that supports multiple languages and optimizes performance across diverse hardware environments.

A powerful, flexible open-source machine learning library used for creating deep learning models and accelerating AI research.

A comprehensive, open-source machine learning library for Python that provides efficient tools for predictive data analysis.

Hugging Face is the definitive open-source community and infrastructure hub for sharing, discovering, and collaborating on machine learning models and datasets.

BLOOM is a state-of-the-art open-access multilingual large language model developed by the BigScience workshop and hosted by HuggingFace.