ckyrkou

Keras_FLOP_Estimator

This is a function for estimating the floating point operations (FLOPS) of deep learning models developed with keras.

CNN_Car_Detector

Training a deep-learning classifier for aerial top view detection of vehicles.

EmergencyNet

A small deep learning model based on atrous convolutional feature fusion for the application of emergency response.

AIDER

Aerial Image Database for Emergency Response Applications

Traffic_Sign_Classifier

This project uses deep neural networks and convolutional neural networks to classify traffic signs. It is implemented in TensorFlow in a python notebook environment.

Mobilenet_Object_Detection

Rapid object detection suitable for implementation in autonomous vehicles.

Hardware_Design_Cores

IP Cores in Verilog and VHDL for arithmetic functions

Mobile_AI_Camera_Scene_Detection

Submission to the first Mobile AI challenge, where the target is to develop quantized deep learning-based camera scene classification solutions that can demonstrate a real-time performance on smartphones and IoT platforms

advanced_Lane_Finding

AdvancedVerilogTutorial

These short tutorial includes small tips for hardware design using Verilog HDL ®. The concepts discussed assume that you have some familiarity with Verilog design.

Steering-Angle-Generation-for-Camera-Based-ADAS-Systems

These python files can be used to generate virtual steering angles for datasets acquired from a car mounter camera. For example in this way you can augment datasets used for detecting vehicles and pedestrian with steering angles so that you can train a car to simultaneously detect and drive.

Deep_Behavioral_Cloning

Behavioral Cloning — make a car learn to drive by itself!

YOLOpeds

This repository implements a single shot object detection framework in Keras.

aerial-cars-dataset

Dataset for car detection on aerial photos applications

CarND-Capstone-1

ckyrkou.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

cvpr2019

Workshop materials for OpenCV day at CVPR 2019 conference

DataAugmentationForObjectDetection

Data Augmentation For Object Detection

Generative-Adversarial-Network-for-EmergencyResponse

To generate realistic images of disasters for deep learning training

mean_average_precision

Small and simple python/numpy utility to compute mean average precision (mAP) on detection task.

minDiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

MNIST-ObjectDetection

A simple script to generate a object detection dataset with MNIST digits

naive_bayes_classifier_cpp

Implementation of a Gaussian Naive Bayes classifier to predict the behavior of vehicles on a highway

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

Spatiotemporal_Object_Detection

Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring

STeP_Models

Code that implements Convolutional Neural Networks using Structured Ternary Patterns (STeP)

TRG-NAS

True Rank Guided Neural Architecture Search for End to End Low Complexity Network Discovery