Curated collection of data structures for the JavaScript/TypeScript.
Binary Search Trees
Built-in support for popular icon fonts and the tooling to create your own Icon components from your font and glyph map. This is a wrapper around react-native-vector-icons to make it compatible with Expo.
Parses vector tiles
Delightful JavaScript Testing.
Utilities for watching file trees.
Isomorphic storage client for Supabase.
Broccoli plugin to merge multiple trees into one
Delightful JavaScript Testing.
Serialize mapbox vector tiles to binary protobufs in javascript.
Slice GeoJSON data into vector tiles efficiently
hast utility to create trees
Serialize mapbox vector tiles to binary protobufs in javascript.
Implementation of verkle trees as used in Ethereum.
No description provided.
Slice GeoJSON data into vector tiles efficiently
TypeScript definitions for react-native-vector-icons
Incrementally merge directories.
unist utility to create a new trees with a nice syntax
Highlighting system for Lezer parse trees
Customizable Icons for React Native with support for image source and full styling.
An HTTP/REST based Vector DB client built on top of Upstash REST API.
File system snapshot - serialize and deserialize file system trees to binary or JSON
A WebGL interactive maps library
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.
Using this package, you can do powerful pattern recognition easily from your shell command line using a simple suite of tools. Applications include music cateogrization, text classification, handwritten digit recognition, and evolutionary tree reconstruction. The technique is based on a very general theoretical notion of Kolmogorov Complexity, and so is undoubtedly applicable to many as yet unknown disciplines. See the webpage for research papers explaining the math behind these techniques.
SVMKit is a machine learninig library in Ruby. SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. SVMKit supports Linear / Kernel Support Vector Machine, Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine, Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm, K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization. Note that the SVMKit has been deprecated and has been renamed to Rumale.