Embedded Ai
Showing 12 of 12 projects
A Rust-based deep learning framework and tensor library optimized for flexibility, efficiency, and cross-platform portability.
Transpile trained machine learning models into native code (Java, C, Python, Go, etc.) with zero dependencies.
A deep learning framework for research, development, and production with flexible Python API and C++ core.
A minimal, well-tested library for training and using feedforward artificial neural networks in ANSI C.
Official TensorFlow Python wheels for Raspberry Pi, enabling machine learning on edge devices.
A lightweight C library for building and training small to medium artificial neural networks with minimal dependencies.
A lightweight C++ machine learning library designed for embedded electronics and robotics applications.
A lightweight multilayer perceptron neural network library for MicroPython, designed for embedded systems like ESP32 and Pycom modules.
An open-source CAD framework for designing, simulating, and deploying deep neural networks on embedded platforms.
A ROS wrapper for the NCNN neural inference framework, enabling real-time neural network inference on robotic systems.
A MicroPython example that connects to ChatGPT via OpenAI API and displays responses on an OLED screen.
MicroPython binding for ESP-DL models enabling face detection, recognition, human detection, cat detection, and image classification on ESP32 devices.
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