ckyrkou
Christos has a PhD in Computer Engineering and @UDACITY Self-Driving Car Engineer Nanodegree Graduate. He is interested in Deep Learning and Computer Vision.
KIOS Research and Innovation Center of Excellence, University of CyprusCyprus
Pinned Repositories
AIDER
Aerial Image Database for Emergency Response Applications
Car_Sideview_Detection
Resources for sideview car detection, An xml file with the description of a cascade classifier for sideview car detection for OpenCV. Also a database of 948 sideview cars and 3122 negative template images in pgm format. The images are 40x100 pixel resolution.
CNN_Car_Detector
Training a deep-learning classifier for aerial top view detection of vehicles.
Deep_Behavioral_Cloning
Behavioral Cloning — make a car learn to drive by itself!
EmergencyNet
A small deep learning model based on atrous convolutional feature fusion for the application of emergency response.
Keras_FLOP_Estimator
This is a function for estimating the floating point operations (FLOPS) of deep learning models developed with keras.
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
Mobilenet_Object_Detection
Rapid object detection suitable for implementation in autonomous vehicles.
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.
YOLOpeds
This repository implements a single shot object detection framework in Keras.
ckyrkou's Repositories
ckyrkou/Keras_FLOP_Estimator
This is a function for estimating the floating point operations (FLOPS) of deep learning models developed with keras.
ckyrkou/CNN_Car_Detector
Training a deep-learning classifier for aerial top view detection of vehicles.
ckyrkou/EmergencyNet
A small deep learning model based on atrous convolutional feature fusion for the application of emergency response.
ckyrkou/AIDER
Aerial Image Database for Emergency Response Applications
ckyrkou/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.
ckyrkou/Mobilenet_Object_Detection
Rapid object detection suitable for implementation in autonomous vehicles.
ckyrkou/Hardware_Design_Cores
IP Cores in Verilog and VHDL for arithmetic functions
ckyrkou/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
ckyrkou/advanced_Lane_Finding
ckyrkou/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.
ckyrkou/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.
ckyrkou/Deep_Behavioral_Cloning
Behavioral Cloning — make a car learn to drive by itself!
ckyrkou/YOLOpeds
This repository implements a single shot object detection framework in Keras.
ckyrkou/aerial-cars-dataset
Dataset for car detection on aerial photos applications
ckyrkou/CarND-Capstone-1
ckyrkou/ckyrkou.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ckyrkou/cvpr2019
Workshop materials for OpenCV day at CVPR 2019 conference
ckyrkou/DataAugmentationForObjectDetection
Data Augmentation For Object Detection
ckyrkou/Generative-Adversarial-Network-for-EmergencyResponse
To generate realistic images of disasters for deep learning training
ckyrkou/mean_average_precision
Small and simple python/numpy utility to compute mean average precision (mAP) on detection task.
ckyrkou/minDiffusion
Self-contained, minimalistic implementation of diffusion models with Pytorch.
ckyrkou/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.
ckyrkou/MNIST-ObjectDetection
A simple script to generate a object detection dataset with MNIST digits
ckyrkou/naive_bayes_classifier_cpp
Implementation of a Gaussian Naive Bayes classifier to predict the behavior of vehicles on a highway
ckyrkou/pytorch-cifar
95.47% on CIFAR10 with PyTorch
ckyrkou/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)
ckyrkou/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
ckyrkou/Spatiotemporal_Object_Detection
Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring
ckyrkou/STeP_Models
Code that implements Convolutional Neural Networks using Structured Ternary Patterns (STeP)
ckyrkou/TRG-NAS
True Rank Guided Neural Architecture Search for End to End Low Complexity Network Discovery