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

Autonomous remote-controlled car using Deep Learning

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

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.

A C# library for creating and training MLPs and CNNs

Convolutional Neural Networks

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

PROJECT: VGG16 Acceleration using OpenCL

Rede convolucional em C. Camadas Conv, ConvNc, Pool, PoolAv, Relu, Softmax, BatchNorm, DropOut, FullConnect.

Football players detection and tracking

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.

Sogang Univ. ML practice (CSE4152, 2019)

Code for optimization to CNN using CUDA

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.

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

A connect4 buit in pure C with an AI that plays using the minmax algorithm and a CNN as a heuristic funciont. The CNN is trained using genetic algorithms.

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

CNN Model for MCU ADC

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