Christos Kyrkou's repositories
STeP_Models
Code that implements Convolutional Neural Networks using Structured Ternary Patterns (STeP)
Spatiotemporal_Object_Detection
Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring
Generative-Adversarial-Network-for-EmergencyResponse
To generate realistic images of disasters for deep learning training
EmergencyNet
A small deep learning model based on atrous convolutional feature fusion for the application of emergency response.
minDiffusion
Self-contained, minimalistic implementation of diffusion models with Pytorch.
ckyrkou.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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)
CNN_Car_Detector
Training a deep-learning classifier for aerial top view detection of vehicles.
TRG-NAS
True Rank Guided Neural Architecture Search for End to End Low Complexity Network Discovery
pytorch-cifar
95.47% on CIFAR10 with PyTorch
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
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.
Keras_FLOP_Estimator
This is a function for estimating the floating point operations (FLOPS) of deep learning models developed with keras.
YOLOpeds
This repository implements a single shot object detection framework in 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
MNIST-ObjectDetection
A simple script to generate a object detection dataset with MNIST digits
mean_average_precision
Small and simple python/numpy utility to compute mean average precision (mAP) on detection task.
DataAugmentationForObjectDetection
Data Augmentation For Object Detection
cvpr2019
Workshop materials for OpenCV day at CVPR 2019 conference
aerial-cars-dataset
Dataset for car detection on aerial photos applications
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.
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.
Mobilenet_Object_Detection
Rapid object detection suitable for implementation in autonomous vehicles.
naive_bayes_classifier_cpp
Implementation of a Gaussian Naive Bayes classifier to predict the behavior of vehicles on a highway
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.
Hardware_Design_Cores
IP Cores in Verilog and VHDL for arithmetic functions
Deep_Behavioral_Cloning
Behavioral Cloning — make a car learn to drive by itself!