Libraries tagged by reduction
rubix/ml
1762259 Downloads
A high-level machine learning and deep learning library for the PHP language.
rubix/tensor
1828958 Downloads
A library that provides objects for scientific computing in PHP.
helgesverre/toon
451847 Downloads
Token-Oriented Object Notation - A compact data format for reducing token consumption when sending structured data to LLMs
emcconville/point-reduction-algorithms
214248 Downloads
A collection of algorithms for reducing the number of points in polyline
rubix/tensor_ext
1275 Downloads
A PHP extension that provides objects for scientific computing in PHP.
drupal/ai_recipe_llm_optimized_content
1654 Downloads
AI-optimized content delivery recipe. Provides llms.txt support, markdown content output, and noise reduction to improve Large Language Model processing efficiency.
scienide/tensor
10085 Downloads
A library and extension that provides objects for scientific computing in PHP.
ghostjat/np
39 Downloads
Np (numphp) is numerical library with low memory footprint for php language. Suitable for large scale computing. php-8.0+ 64 bit is required!
rubix/credit
219 Downloads
An example project that predicts the risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset of credit card customers.
ghostjat/pml
19 Downloads
High-performance Tensor library for PHP utilizing FFI, OpenBLAS, and zero-copy memory operations.
wmd/craft-omnibus
54 Downloads
Omnibus and sidrena cijena for Craft Commerce: price history per variant, the lowest price in the 30 days before a reduction, the Croatian anchor price (NN 101/2026), and the daily machine-readable price list.
navt/reduction
9 Downloads
Optimization of images size on the site
sunfoxcz/price-calculator
5776 Downloads
Library for easier price calculation using VAT and discount.
zip-fa/toon
5 Downloads
Token-Oriented Object Notation - A compact data format for reducing token consumption when sending structured data to LLMs
rubix/har
133 Downloads
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.