extracts CSS into separate files
Joined mini functions to help minimize duplicated coding between projects
Lite lib to only support decimal add calculation
this package provides mini usefull functions for projects
a list of mini functions
Small, efficient encoding of SVG data URIs for CSS, HTML, etc.
Type-safe data decoding and encoding for the minimalist.
This is a re-bundled version of [Shiki](https://shiki.style) which strips out the dependencies which aren't necessary for [TypeDoc](https://typedoc.org/)'s usage.
A list of color names and its values
The minimal preset for UnoCSS
Easily create CSV data from json collection
Blork! Mini runtime type checking in Javascript
This is a package which provides `throttle` and `debounce` functions, with both flow and TypeScript declarations, and a minimal code footprint (less than 60 lines, less than 350 bytes minified+gzipped)
Parse, validate, manipulate, and display dates
minikit-react is a set of hooks for building mini-apps
Does this JS environment support the `name` property on functions?
Helper function to replace certain member expressions with function calls
A tiny, dynamic list virtualization library for React
Compile ES2015 arrow functions to ES5
Babel plugin to ensure function declarations at the block level are block scoped
A mini functions library for first week of study in Lighthouse Lab
Turn async generator functions into ES2015 generators
Minimap component for React Flow.
TypeScript Source Development Kit for Telegram Mini Apps client application.
A Rust library of highly performant utility and wrapper functions
The `Claims` library holds JSON Web Token (JWT) cclm. It provides an RFC7519 compliant implementation of JSON Web Tokens (JWT) and JSON Web Signature (JWS) for Rust.
A Rust library for generating and manipulating QR code images in various formats
Lazy repeatable caching iterator that only ever calculates each element once.
LXL (Like Excel) is a mini-language that mimics Microsoft Excel formulas. Easily extended with new constants and functions.
Utility functions to use the Akai APC mini MIDI controller with Sonic Pi
include login, send subscribe message, get phone number function of mini program
mini/test is a completely minimial drop-in replacement for ruby's test/unit. This is meant to be clean and easy to use both as a regular test writer and for language implementors that need a minimal set of methods to bootstrap a working unit test suite. mini/spec is a functionally complete spec engine. mini/mock, by Steven Baker, is a beautifully tiny mock object framework.
minitest/unit is a small and fast replacement for ruby's huge and slow test/unit. This is meant to be clean and easy to use both as a regular test writer and for language implementors that need a minimal set of methods to bootstrap a working unit test suite. mini/spec is a functionally complete spec engine. mini/mock, by Steven Baker, is a beautifully tiny mock object framework. (This package was called miniunit once upon a time) -- (this gem as maintained by Matt Lyon contains patches and extensions to minitest/spec that will apparently never make it upstream. Go Open Source!)
GRYDRA v2.0 is a complete, modular Ruby library for building, training, and deploying neural networks. NEW in v2.0: - Complete modular architecture with 29 organized files - Keyword arguments API for better readability - Full implementations (no more "simplified" versions) - 8 loss functions (MSE, MAE, Huber, Cross-Entropy, Hinge, Log-Cosh, Quantile) - 5 optimizers (Adam, SGD, RMSprop, AdaGrad, AdamW) - 6 training callbacks (EarlyStopping, LearningRateScheduler, ReduceLROnPlateau, ModelCheckpoint, CSVLogger, ProgressBar) - Complete LSTM implementation with backpropagation - Complete 2D Convolutional layer with padding and stride - Real PCA with eigenvalue decomposition using Power Iteration - Multiple activation functions (Tanh, ReLU, Leaky ReLU, Sigmoid, Swish, GELU, Softmax) - Regularization (Dropout, L1, L2) - Weight initialization (Xavier, He) - Data normalization (Z-Score, Min-Max) - Comprehensive metrics (MSE, MAE, Accuracy, Precision, Recall, F1, Confusion Matrix, AUC-ROC) - Advanced training (mini-batch, early stopping, learning rate decay, validation split) - Cross-validation and hyperparameter search - Text processing (vocabulary, binary vectorization, TF-IDF) - Model persistence (save/load with Marshal) - Network visualization and gradient analysis - Simplified EasyNetwork interface - 100% backward compatibility with v1.x Perfect for machine learning projects, research, and education in Ruby.
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