open source

scikit-learn is an open-source machine learning library for Python, offering simple and efficient tools for predictive data analysis, suitable for various contexts, built on NumPy, SciPy, and matplotlib.

Deeplearning4j is an open-source deep learning framework designed for the Java Virtual Machine (JVM), supporting various deep learning algorithms and seamlessly integrating with Apache Hadoop and Spark, making it suitable for large-scale data processing and distributed computing.

NumPy is the core library for scientific computing in Python, offering powerful N-dimensional array objects and a rich set of mathematical functions to facilitate efficient data processing and analysis.

DeepSpeed is an open-source deep learning optimization library by Microsoft, designed to reduce computational resources and memory usage, offering efficient distributed model training, especially suitable for large-scale language model training.

Qdrant is an open-source vector database and similarity search engine developed in Rust, supporting efficient storage and retrieval of multi-modal data, widely used in personalized recommendations, image recognition, and real-time data analysis.

MindSpore, developed by Huawei, is an all-scenario AI framework offering user-friendly APIs and efficient execution, supporting deployment across cloud, edge, and device environments, empowering developers to efficiently build deep learning models.