A minimalist Deep Learning framework for embedded Computer Vision
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Updated
Dec 31, 2019 - C
A minimalist Deep Learning framework for embedded Computer Vision
Acoustic features (MFSCs and MFCCs) for edge AI
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
The Hailo PCIe driver is required for interacting with a Hailo device over the PCIe interface
Epsilon is a library with functions for machine learning and statistics written in plain C. It is intended to run on microcontrollers.
Mobilenet v1 (3,160,160, alpha=0.25, and 3,192,192, alpha=0.5) on STM32H7 using X-CUBE-AI v4.1.0
Speech Recognition using STM32 and Machine Learning
Open source Python library for deploying deep learning model on Edge devices
The official Edge Impulse firmware for PSoC63 (CY8CKIT-062-BLE)
Classifying workout exercises on an Arduino Nano 33 BLE Sense board.
A mnist classifier trained with Tinygrad running on $1 of compute (Raspberry Pi Pico | ArduCAM Pico4ML)
Arduino TinyML project that uses a model to recognize digits, the model was trained using MNIST dataset
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