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PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, ...
In computer science, a container is a class or a data structure [1] [2] whose instances are collections of other objects. In other words, they store objects in an organized way that follows specific access rules.
LXC was initially developed by IBM, as part of a collaboration between several parties looking to add namespaces to the kernel. [7] It provides operating system-level virtualization through a virtual environment that has its own process and network space, instead of creating a full-fledged virtual machine.
The core package of Torch is torch.It provides a flexible N-dimensional array or Tensor, which supports basic routines for indexing, slicing, transposing, type-casting, resizing, sharing storage and cloning.
The Open Neural Network Exchange (ONNX) [ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector.
PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from engineering, thus making deep learning experiments easier to read and reproduce.
These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals.Datasets are an integral part of the field of machine learning.
Singularity is a free and open-source computer program that performs operating-system-level virtualization also known as containerization. [4]One of the main uses of Singularity is to bring containers and reproducibility to scientific computing and the high-performance computing (HPC) world.