A stream model for Taf protocol
Mirror exact value to TypeBox/OpenAPI model
Base functionality used throughout XY Labs TypeScript/JavaScript libraries
Tool schema compatibility layer for Mastra.ai
Rope-based persistent sequence type
Easing functions for smooth animation.
TensorFlow layers API in JavaScript
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An evented streaming XML parser in JavaScript
Code Generation Tools for TypeBox
A Pothos plugin for more efficient integration with prisma
Tiny JavaScript tokenizer.
Managing and serializing Rust-like Option types in JavaScript
javascript implementation of Dunning's T-Digest for streaming quantile approximation
TypeScript definitions for pg-pool
Popular AI / LLM Model Brand SVG Logo and Icon Collection
A utility that allows retrying a function with an exponential delay between attempts.
ProseMirror's document model
<p> <a href="https://www.npmjs.com/package/vue-component-type-helpers"><img src="https://img.shields.io/npm/v/vue-component-type-helpers.svg?labelColor=18181B&color=1584FC" alt="NPM version"></a> <a href="https://github.com/vuejs/language-tools/blob/m
Lazy value.
Get a random temporary file or directory path
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An evented streaming XML parser in JavaScript
Get accurate and well named css box model information about an Element 📦
Placeholder
Model objects
Ambient model functionality. Host-only.
Ambient model importer. Host-only.
Runtime data structures for asyncapi-rust (AsyncAPI 3.0 spec models)
AutoModel — SQL-first Reverse ORM for Rust, Built for the greater DX and for the AI Era
Command-line interface for AutoModel — SQL-first Reverse ORM for Rust, Built for the greater DX and for the AI Era
SDK for the Azure IoT Models Repository
Report Engine
Event models for bmux terminal multiplexer
Model management page for BurnCloud client applications
Solana cost model
rails_sorbet_enum is a gem that makes it simple to use typed Sorbet T::Enums as fields on ActiveRecord models.
When working with ActiveRecord models, sometimes you want to eject to a simpler, safer object. Enter Sorbet's T::Struct. This gem makes it much easier to target a Sorbet T::Struct and eject from an ActiveRecord model into the struct. It also allows you to buckle in from a simple struct to a new ActiveRecord model instance.
With it you can add the ability to create columns outside the default schema, directly in your model in a similar way t at you just know in others projects like DataMapper or MongoMapper.
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
# DwCR DwCA in a SQLite database complete with [Sequel](https://github.com/jeremyevans/sequel) models. ## Command Line Tool ### Create a new DwCR file From within the directory of a DwC Archive: ```ruby dwcr new -t dwcr-test.db ``` will create the file in the directory, named after the directory see `dwcr new --help` for options ### Load an existing DwCR file ```ruby dwcr load ~/documents/dwca/dwcr-test.db ```
* Vincenty wrote an algorithm for calculating the bearing and distance between two coordinates on the earth and an algorithm for finding a second coordinate, given a starting coordinate, bearing and destination. The algorithms model the earth as an ellipsoid, using the WGS-84 model. This is the common GPS model for mapping to latitudes and longitudes. This is a Ruby implementation of Vincenty's algorithms, and the Vincenty class includes two methods for modeling the earth as a sphere. These were added as a reference for testing the Vincenty algorithm, but could be used on their own. The package also makes use of several other classes that may be useful in their own Right. These include class Angle, class Latitude (subclass of Angle), class Longitude (subclass of Angle), class TrackAndBearing and class coordinate (which class Vincenty is a subclass) Angle requires extensions to Numeric and String to provide to_radians (to_r) and to_degrees (to_d). String also includes a to_decimal_degrees(), which converts most string forms of Latitude and Longitude to decimal form. These extensions are included in the package in core_extensions.rb. Float has also been extended to change round to have an optional argument specifying the number of decimal places to round to. This is fully compatible with the Float.round, as the default is to round to 0 decimal places. * The Vincenty code is based on the wikipedia presentation of the Vincenty algorithm http://en.wikipedia.org/wiki/Vincenty%27s_formulae . * The algorithm was modified to include changes I found at http://www.movable-type.co.uk/scripts/latlong-vincenty-direct.html. * I also altered the formulae to correctly return the bearing for angles greater than 180. * Vincenty's original publication ** T Vincenty, "Direct and Inverse Solutions of Geodesics on the Ellipsoid with application of nested equations", Survey Review, vol XXII no 176, 1975 http://www.ngs.noaa.gov/PUBS_LIB/inverse.pdf
A suite for basic and advanced statistics on Ruby. Tested on CRuby 1.9.3, 2.0.0 and 2.1.1. See `.travis.yml` for more information. Include: - Descriptive statistics: frequencies, median, mean, standard error, skew, kurtosis (and many others). - Correlations: Pearson's r, Spearman's rank correlation (rho), point biserial, tau a, tau b and gamma. Tetrachoric and Polychoric correlation provides by statsample-bivariate-extension gem. - Intra-class correlation - Anova: generic and vector-based One-way ANOVA and Two-way ANOVA, with contrasts for One-way ANOVA. - Tests: F, T, Levene, U-Mannwhitney. - Regression: Simple, Multiple (OLS), Probit and Logit - Factorial Analysis: Extraction (PCA and Principal Axis), Rotation (Varimax, Equimax, Quartimax) and Parallel Analysis and Velicer's MAP test, for estimation of number of factors. - Reliability analysis for simple scale and a DSL to easily analyze multiple scales using factor analysis and correlations, if you want it. - Dominance Analysis, with multivariate dependent and bootstrap (Azen & Budescu) - Sample calculation related formulas - Structural Equation Modeling (SEM), using R libraries +sem+ and +OpenMx+ - Creates reports on text, html and rtf, using ReportBuilder gem - Graphics: Histogram, Boxplot and Scatterplot.
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