CNN that converts Monochrome to RGB (WIP)

Lightweight AI victim recognition for RoboCup Rescue Maze 2025. Runs real-time on OpenMV H7 using custom-trained FOMO model to recognize letters and color victims. Exits data over GPIO + interrupt pin for STM32 integration.

On-Device Learning for Human Activity Recognition on Low-Power Microcontrollers

Heart Sound Segmenter implemented using a Convolutional Neural Network (CNN) on heterogeneus platforms (RISC-V included, through AIRISC architecture)

Parking-lot vacancy detection deployed on a ARDUINO Nano 33 BLE Sense Lite

A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

DeepTrafficQ is a reinforcement learning-based traffic signal control system that uses Deep Q-Networks (DQN) to minimize vehicle waiting times at a 4-way intersection. By leveraging Q-learning with experience replay and a convolutional neural network (CNN), the agent dynamically adjusts traffic light phases to optimize traffic flow.

A CNN implementation in C.

Automatic Indoor Periodic Plant Growth Light Control and Plant Disease Monitoring System

Example in C that uses TensorFlow Lite for Microcontrollers to run a simple CNN model for image classification on an embedded system.

A tiny CNN which is extremely fast and lightweight, beat ONNXRuntime and ncnn.

A Machine Learning project for georeferencing and digitizing maps of Havana from the RDOH. Label processing, CNN training, segmentation, vectorization, polygon matching.

Convolutional Neural Network (CNN) In C

Code for ACM MobiCom 2024 paper "FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices"

2023年全国大学生集成电路创新创业大赛-海运捷讯杯-全国二等奖作品 FPGA-Based SSD-MobileNet Acceleator; CNN Acceleator; China IC Competition

Code for optimization to CNN using CUDA

A simple CNN in C from scratch

High Level Synthesis of a trained Convolutional Neural Network for handwritten digit recongnition.

A C# library for creating and training MLPs and CNNs