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GitHub Copilot is a code completion and automatic programming tool developed by GitHub and OpenAI that assists users of various IDEs by autocompleting code. It uses a deep-learning model trained on public source code and natural language queries, and has faced licensing, privacy, and security controversies.
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 and features of various programming languages that have been used or designed for artificial intelligence applications. Compare general-purpose and specialized languages, such as Python, R, Lisp, Prolog, and more.
PyTorch is a free and open-source software library for machine learning and deep learning, developed by Meta AI and part of the Linux Foundation. It supports tensor computing, neural networks, automatic differentiation, and various GPU platforms.
Torch is a Lua-based framework for scientific computing and deep learning, created by the Idiap Research Institute. It provides a flexible tensor object, a modular neural network interface, and various packages for image processing, parallelism, and more.
Project Jupyter is a nonprofit organization that develops software, standards, and services for interactive data science and scientific computing across multiple programming languages. It supports execution environments (kernels) in Julia, Python, R, and many others, and has a web-based interface called Jupyter Notebook or JupyterLab.
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.