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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.
An extension of word vectors for creating a dense vector representation of unstructured radiology reports has been proposed by Banerjee et al. [23] One of the biggest challenges with Word2vec is how to handle unknown or out-of-vocabulary (OOV) words and morphologically similar words. If the Word2vec model has not encountered a particular word ...
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. This object is used by most other packages and thus forms the core object of the library.
APL programming language file transfer format file AMF [8] [9] Additive Manufacturing File Format: Computer Aided Design Software AMG: System image file ACTOR AML [10] AutomationML: AutomationML Group: AMLX [10] Compressed and packed AutomationML file AutomationML Group: AMPL: AMPL source code file AMPL: AMR: Adaptive Multi-Rate audio: AMV ...
In order to efficiently store dictionary data, dictzip, an extension to the gzip compression format (also the name of the utility), can be used to compress a .dict file. Dictzip compresses file in chunks and stores the chunk index in the gzip file header, thus allowing random access to the data.
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.
Zstandard combines a dictionary-matching stage with a large search window and a fast entropy-coding stage. It uses both Huffman coding (used for entries in the Literals section) [15] and finite-state entropy (FSE) – a fast tabled version of ANS, tANS, used for entries in the Sequences section. Because of the way that FSE carries over state ...
The main benefit of OLE is to add different kinds of data to a document from different applications, like a text editor and an image editor. This creates a Compound File Binary Format document and a master file to which the document makes reference. Changes to data in the master file immediately affect the document that references it.