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General-purpose languages Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX. The library NumPy can be used for manipulating arrays, SciPy for ...
TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java, [10] facilitating its use in a range of applications in many sectors.
GitHub Copilot is a code completion and automatic programming tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code. [1] Currently available by subscription to individual developers and to businesses, the generative artificial intelligence software was first announced ...
OpenAI Codex OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [1] Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.
Gaba is a self-taught engineer who used Google's free and auditable courses when learning to code. From Python to Generative AI, Gaba says there's a course for programmers at every level.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k -means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers ...
Although the Python interface is more polished and the primary focus of development, PyTorch also has a C++ interface. [12] A number of pieces of deep learning software are built on top of PyTorch, including Tesla Autopilot, [13] Uber's Pyro, [14] Hugging Face's Transformers, [15] PyTorch Lightning, [16] [17] and Catalyst. [18] [19]