Optimize images as part of your Netlify build process.
Node.js wrapper for some images compression algorithms
指定したディレクトリに追加された画像を自動圧縮する。
rehype plugin to change the `src` (and `srcset`/`sizes`) of images to optimized versions from your image CDN/optimization provider
Automatically optimise images on S3 using AWS Lambda
FINITE LOGIC: PolyOptim JIT Simulation and Dynamic Runtime Profiler (Free Tier).
React component to display an OpenClap timeline
A library of prompt optimizers.
Fast local image optimization for WebP
beez-optim makes specify images optimize automatically in build process using grunt.
Astro & Tailwind CSS blog theme for Maugli.
Internal fulll launchpad for React and symfony app
Optimizers for ts-torch
A package that parses a number string into the corresponding number
Set of utilities to run command line tools for image optimization
beez-optim makes specify images optimize automatically in build process.
A simple and lightweight tool to optimise lottie files.
Blazing-fast client-side image compression library for React with Web Worker support. Compress images 70-99% with WebP, AVIF, JPEG. Zero dependencies, TypeScript-first.
Optimized compiled async-to-gen
Optimise images as part of your Netlify build process.
Meet FRED, The Front End Yeoman generator
unofficial module to upload and compress image by using ImageOptim compression service
Optimise images on S3
Babel preset for optimizing react code
Optimization for Numra: BFGS, L-BFGS, L-BFGS-B, Levenberg-Marquardt, Nelder-Mead, CMA-ES, SQP, LP/MILP, augmented Lagrangian, NSGA-II.
Automatic differentiation for Numra: forward-mode (Dual numbers) and reverse-mode (tape) for gradients and Jacobians.
Numra: a composable Rust workspace for scientific computing — differential equations (ODE/SDE/DDE/FDE/IDE/PDE/SPDE), optimization, automatic differentiation, linear algebra, statistics, signal processing.
ODE-constrained optimization for Numra: single and multiple shooting, collocation, adjoint sensitivity, parameter estimation for ODE models.
Curve fitting for Numra: nonlinear least squares (Levenberg-Marquardt), weighted fits, polynomial fit and evaluation.
Nonlinear solvers for Numra: Newton-Raphson with line search, analytical or finite-difference Jacobians.
Linear algebra abstractions for Numra: dense and sparse matrices, LU/QR/Cholesky/SVD, iterative solvers (CG, GMRES, BiCGSTAB).