Parking-lot vacancy detection deployed on a ARDUINO Nano 33 BLE Sense Lite
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Updated
Jul 10, 2025 - C
Parking-lot vacancy detection deployed on a ARDUINO Nano 33 BLE Sense Lite
Rede convolucional em C. Camadas Conv, ConvNc, Pool, PoolAv, Relu, Softmax, BatchNorm, DropOut, FullConnect.
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.
A tiny CNN which is extremely fast and lightweight, beat ONNXRuntime and ncnn.
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.
Heart Sound Segmenter implemented using a Convolutional Neural Network (CNN) on heterogeneus platforms (RISC-V included, through AIRISC architecture)
CPU Optimized & IoT Capable Embedded Computer Vision & Machine Learning Library.
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
PROJECT: VGG16 Acceleration using OpenCL
neural network for C programmers
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