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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 ...
The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year.
The first known prominent public usage of the term "Model-Based Systems Engineering" is a book by A. Wayne Wymore with the same name. [8] The MBSE term was also commonly used among the SysML Partners consortium during the formative years of their Systems Modeling Language (SysML) open source specification project during 2003-2005, so they could distinguish SysML from its parent language UML v2 ...
TensorFlow serves as a core platform and library for machine learning. TensorFlow's APIs use Keras to allow users to make their own machine-learning models. [33] [43] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving. [44]
Conjoint analysis with a bilinear model. 45,811,883 user visits Text Regression, clustering 2009 [473] [474] Chu et al. British Oceanographic Data Centre Biological, chemical, physical and geophysical data for oceans. 22K variables tracked. Various. 22K variables, many instances Text Regression, clustering 2015 [475] British Oceanographic Data ...
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. [1] Other frameworks in the spectrum of supervisions include weak- or semi-supervision, where a small portion of the data is tagged, and self-supervision.
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The MDE approach is meant to increase productivity by maximizing compatibility between systems (via reuse of standardized models), simplifying the process of design (via models of recurring design patterns in the application domain), and promoting communication between individuals and teams working on the system (via a standardization of the terminology and the best practices used in the ...