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

A powerful, high-level neural network API that enables rapid prototyping and deployment of deep learning models.

Caffe is a professional-grade deep learning framework developed by UC Berkeley, optimized for speed, efficiency, and large-scale image processing.

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.

TensorFlow is a comprehensive open-source ecosystem for machine learning, enabling developers to create scalable AI models from research to production.