PHP libraries for practical computing.
Build more with Rindow — Machine learning, mathematics, and application frameworks designed to work together.
| 🧠 Neural Networks | 📐 Mathematics | ⚙️ Framework |
|---|---|---|
| Deep learning in pure PHP — DNN, CNN, RNN, Attention / Transformer, and RL agents. Keras-like API. CPU speed close to TensorFlow, GPU via OpenCL without NVIDIA. | Matrix operations on N-dimensional arrays, high-speed BLAS/LAPACK, plotting, and acceleration. | Modular PHP application architecture with DI Container, AOP / Interceptors, and annotation-based configuration. |
| Docs → | Docs → | Docs → |
composer require rindow/rindow-neuralnetworks
composer require rindow/rindow-math-plot
composer require rindow/rindow-math-matrix-matlibffi # high-speed backendTutorials: Basic image classification · CNN · RNN seq2seq · NMT with Attention · Transformer
- Off the chain — No dedicated ML environment, no expensive GPU machine. Run deep learning on your laptop and on ordinary PHP hosting.
- Decluttering — Small, modular, healthy components. Use only what you need, discard the rest.
- Interoperability — Open interfaces first. Built to be replaceable, aiming for standards anyone can join.
- 🌐 Website: https://rindow.github.io/
- 📖 Blog: https://rindow.github.io/blog/index.html
- 💻 GitHub: https://github.com/rindow
- 📦 Packagist: https://packagist.org/packages/rindow/
Let's have fun together!
