Discover and learn various AI and machine learning frameworks to help you quickly build, train, and deploy AI models
Deep learning framework developed by Facebook, known for its dynamic computation graph and Python-first design philosophy, popular among researchers
End-to-end open-source machine learning platform developed by Google, supporting multiple languages and platforms with strong production deployment capabilities
Most popular NLP library providing thousands of pre-trained models and easy-to-use APIs, simplifying the use of Transformer models
High-performance numerical computing library developed by Google, combining NumPy and automatic differentiation, designed for high-performance machine learning research
User-friendly deep learning API focused on fast experimentation, can be used with TensorFlow, CNTK, and Theano
Computer vision library developed by Facebook AI, implementing state-of-the-art object detection and segmentation algorithms
Open Neural Network Exchange format allowing AI developers to transfer models between different frameworks, promoting framework interoperability
Framework specifically designed for graph neural networks, supporting PyTorch, TensorFlow, and MXNet backends
Industrial-strength natural language processing library focused on efficient text processing and NLP tasks in production environments