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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.
SMS messages collected between two users, with timing analysis. ~ 10,000 XML NLP 2011 [71] KAN, M Reddit All Comments Corpus All Reddit comments (as of 2015). ~ 1.7 billion JSON NLP, research 2015 [72] Stuck_In_the_Matrix Ubuntu Dialogue Corpus Dialogues extracted from Ubuntu chat stream on IRC. 930 thousand dialogues, 7.1 million utterances CSV
Torch is used by the Facebook AI Research Group, [8] IBM, [9] Yandex [10] and the Idiap Research Institute. [11] Torch has been extended for use on Android [12] [better source needed] and iOS. [13] [better source needed] It has been used to build hardware implementations for data flows like those found in neural networks. [14]
The Open Neural Network Exchange project was created by Meta and Microsoft in September 2017 for converting models between frameworks. Caffe2 was merged into PyTorch at the end of March 2018. [ 23 ] In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux ...
On October 20, 2020, the React team released React v17.0, notable as the first major release without major changes to the React developer-facing API. [ 57 ] On March 29, 2022, React 18 was released which introduced a new concurrent renderer, automatic batching and support for server side rendering with Suspense.
These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words. Word2vec takes as its input a large corpus of text and produces a mapping of the set of words to a vector space , typically of several hundred dimensions , with to each unique word in the corpus being assigned a vector in the space.
Reaction–diffusion systems are mathematical models that correspond to several physical phenomena. The most common is the change in space and time of the concentration of one or more chemical substances: local chemical reactions in which the substances are transformed into each other, and diffusion which causes the substances to spread out ...
The Richardson Maturity Model (RMM) is a maturity model suggested in 2008 by Leonard Richardson which classifies Web APIs based on their adherence and conformity to each of the model's four levels. The aim of the research of the model as stated by the author was to find out the relationship between the constraints of REST and other forms of web ...