EGiunchiglia

C-HMCNN

Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"

CBTs-Checker

Code for paper: "Conditional behavior trees: Definition, executability, and applications"

CCN

Code for paper "Multi-label Classification Neural Networks with Hard Logical Constraints"

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

lime

Lime: Explaining the predictions of any machine learning classifier

NN-GPUvsCPU

C++ implementation of a Feedforwad Neural Network with one hidden layer running on a GPU deploying OpenCL and exploting clBlas to obtain higher performance in terms of time

ROAD-R

Dataset and code for paper: ``ROAD-R: The Autonomous Driving Dataset with Logical Requirements''

video_annotation

ROAD-R-2023-Challenge

EGiunchiglia/C-HMCNN

Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"

EGiunchiglia/CCN

Code for paper "Multi-label Classification Neural Networks with Hard Logical Constraints"

EGiunchiglia/ROAD-R

Dataset and code for paper: ``ROAD-R: The Autonomous Driving Dataset with Logical Requirements''

EGiunchiglia/CBTs-Checker

Code for paper: "Conditional behavior trees: Definition, executability, and applications"

EGiunchiglia/darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection

EGiunchiglia/finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

EGiunchiglia/lime

Lime: Explaining the predictions of any machine learning classifier

EGiunchiglia/NN-GPUvsCPU

C++ implementation of a Feedforwad Neural Network with one hidden layer running on a GPU deploying OpenCL and exploting clBlas to obtain higher performance in terms of time