Libraries tagged by datasheet

Scroller is a virtual rendering plug-in for DataTables which allows large datasets to be drawn on screen very quickly. Virtual rendering means is that only the visible portion of the table is drawn, while the scrolling container gives the visual impression that the whole table is visible, allowing excellent browser performance. This is Scroller for DataTables with styling for [Bootstrap5](https://getbootstrap.com/)

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Scroller is a virtual rendering plug-in for DataTables which allows large datasets to be drawn on screen very quickly. Virtual rendering means is that only the visible portion of the table is drawn, while the scrolling container gives the visual impression that the whole table is visible, allowing excellent browser performance. This is Scroller for DataTables with styling for [Bootstrap4](https://getbootstrap.com/docs/4.6/getting-started/introduction/)

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Hugging Face Hub client for PHP. Manage repositories, run inference, and access thousands of models and datasets with a robust, type-safe API.

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A Laravel 11+ Package for managing Mapbox Datasets and Tilesets

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A PHP implementation of the W3C RDF Dataset Canonicalization (RDFC-1.0) algorithm.

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A PHPUnit test listener that creates a testdox markdown file with grouped dataset output

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Component for Nette Framework and Nextras ORM, that helps generate datasets from collections with paging, sorting and filtering capability.

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Provides console commands, models and migration scripts to syncronize datasets.

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Provides console commands, models and migration scripts to syncronize datasets.

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Allows for creation and validation of datasets conforming to the DCAT-AP-DONL 1.1 metadata standard

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Comprehensive PHP parser of emoticons, HTML entities, shortcodes and unicodes (emojis).

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Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

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Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and the results of 102,944 sample games.

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Use the K Nearest Neighbors algorithm to predict the probability of a divorce.

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Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

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