Diwa: Tiny AI/ML Library

Diwa is a lightweight library providing a simple implementation of Feedforward Artificial Neural Networks (ANNs) for microcontrollers such as ESP32, ESP8266, RP2040, and similar development boards (specially boards with PSRAM); it is also compatible for desktop environments (Windows, MacOS, and Linux-based OSes), WebAssembly, and even PSP gaming consoles. It is designed for resource-constrained environments but can be used with non-Arduino platform projects, offering a streamlined solution for tasks that require neural network capabilities.

Diwa stands out as a straightforward and effective solution for implementing artificial neural networks on microcontrollers. Key features include:

• Lightweight: Designed for resource-constrained microcontroller environments yet can still be used within non-Arduino environments.
• Simple Implementation: Provides a basic yet effective implementation of a Feedforward ANN.
• Easy Integration: Suitable for microcontrollers like ESP8266, ESP32, and RP2040. Also compatible with desktop environments, WebAssembly, and even PSP gaming console.
• Training Support: Includes methods for training the neural network using backpropagation.

See live demo on Wokwi⁠.