Redux in Reason
reductive and reason-react reducer component integration with Redux DevTools
Minimal port of redux-observable to reason reductive
Lenses and tracked selectors enhancer and hooks for Reductive
A configurable component library for web built on React.
a string binary test filter to improve string search times
NodeJS prompt module
OAuth login to a Meteor back-end from React Native
Streamlining reducible procedure.
Optimized vector quantization for dense vectors
Provides a type representing reduction factor.
A collection of dimensionality reduction techniques
Prometheus metrics integration for the PromptFleet observability stack
A library for reducing NP-hard problems
A CLI client for ReductStore written in Rust
Rational number arithmetic using crypto-bigint
GPU acceleration for mathematical computations
Reducing and comparing labelled transition systems modulo various bisimulation equivalences
Simple and easy to write lambda calculus
Instructional program detailing the beta reduction of typed and untyped lambda terms
A graph-based LLM white-box optimization toolbox: topology validation, Lie group orthogonalization, tensor ring compression
Automatic Lossless Reduction Of All Your Images
Reduxco is a general purpose graph reduction calculation engine for those non-linear dependency flows that normal pipelines and Rack Middleware-like architectures can't do cleanly.
Boilerplate-reduction helpers for Poise/Halite-style gemss.
Rationals without reduction
Automatic Lossless Reduction Of All Your Images
Reductions is an addition to Enumerable that returns an array containing all of the intermediate values that would be generated in a call to Enumerable#reduce. (5..10).reductions(:+) # => [5, 11, 18, 26, 35, 45]
A comprehensive clustering toolkit for Ruby, providing UMAP, PCA, K-means, HDBSCAN and more. Built on top of annembed and hdbscan Rust crates for blazing-fast performance.
Extra functions for nmatrix
Combinatory logic parsing and reduction
Noise Reduction and 2x Upscaling for anime style images
Noise Reduction and 2x Upscaling for anime style images
Compact serialization format optimized for LLM contexts with 30-60% token reduction compared to JSON