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

Sogang Univ. ML practice (CSE4152, 2019)

Code for optimization to CNN using CUDA

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

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.

deep learning convolutional neural network implemented with SIMD acceleration (auto-vectorization)

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.

CPU Optimized & IoT Capable Embedded Computer Vision & Machine Learning Library.

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

Convolutional Neural Networks

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

DeepSim for FR-IQA

CNN that converts Monochrome to RGB (WIP)

Deep neural network. Uses CUDA with cuDNN and cuBLAS_v2 libraries. Provides flexible model building. As an example, classificates cell Images for detecting malaria.

The convolutional neural network LeNet by Yann LeCun. This example tests the weights provided in 4 byte data type with smaller data types (short/ char) in order to test the implemetation in a micro-controller.

CNN Model for MCU ADC

PROJECT: VGG16 Acceleration using OpenCL

A C# library for creating and training MLPs and CNNs