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CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]
pip (also known by Python 3's alias pip3) is a package-management system written in Python and is used to install and manage software packages. [4] The Python Software Foundation recommends using pip for installing Python applications and its dependencies during deployment. [5]
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 ...
CUDA is designed to work with programming languages such as C, C++, Fortran and Python. This accessibility makes it easier for specialists in parallel programming to use GPU resources, in contrast to prior APIs like Direct3D and OpenGL , which require advanced skills in graphics programming. [ 7 ]
Numpy is one of the most popular Python data libraries, and TensorFlow offers integration and compatibility with its data structures. [66] Numpy NDarrays, the library's native datatype, are automatically converted to TensorFlow Tensors in TF operations; the same is also true vice versa. [66]
Pip, a package manager used to install and manage Python software packages such as those from the Python Package Index (PyPI) software repository PiTiVi , a non-linear video editor Portage , the heart of Gentoo Linux, an advanced package management system based on the BSD-style ports system
Support for OpenCL and CUDA is also not being implemented currently, although planned for future releases. [ 45 ] [ 46 ] Microsoft stated WSL was designed for the development of applications, and not for desktop computers or production servers , recommending the use of virtual machines ( Hyper-V ), Kubernetes , and Azure for those purposes.