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spaCy is a Python-based software library for advanced natural language processing, with features such as tokenization, part-of-speech tagging, dependency parsing, and named entity recognition. It supports deep learning workflows with Thinc, and has prebuilt models for 23 languages and custom models for 65 languages.
Learn about the history and features of various programming languages used for AI applications, such as Python, R, Lisp, C++, and Prolog. Compare general-purpose and specialized languages, and their libraries and frameworks.
OpenAI Codex is an artificial intelligence model that parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool, and is based on OpenAI's GPT-3 model, fine-tuned for use in programming applications.
TensorFlow is a free and open-source software library for machine learning and artificial intelligence, developed by Google Brain. It can run on various platforms, such as CPUs, GPUs, TPUs, and mobile devices, and supports different programming languages, such as Python, JavaScript, C++, and Java.
Learn about the history, tools, and impact of visual artwork created through the use of an artificial intelligence program. A common output device for algorithmic art is a computer screen, which displays the generated images or animations.
Generative art is post-conceptual art that uses autonomous systems to produce art. Learn about the origins, theories and examples of generative art in various media, such as computer graphics, music, architecture and literature.
scikit-learn is a free and open-source library for various classification, regression and clustering algorithms. It integrates with NumPy, SciPy and other Python libraries and has a long history of development and releases since 2007.
Keras is an open-source Python library for artificial neural networks, developed by François Chollet and integrated into TensorFlow, JAX or PyTorch. Learn about its origin, name, backends, and tools for fast experimentation with deep learning.