Pinned Repositories
ArtificialLife
Programing task AL
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
CUDALab
DataMiningLab
dynamic-review-based-recommenders
kiabsicherung-metric-benchmarking-tool
The Metric Benchmarking Tool (MBT) is an application to perform standard benchmarks using the KI Absicherung (KIA) dataset for 2D object detection. It is meant to allow evaluations of the effectiveness of different methods, by comparing the results calculated by this tool using defined metrics.
Neural-Dynamic-Focused-Topic-Model
Code accompanying the paper: "Neural dynamic focused topic model." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 37. No. 11. 2023..
recurrent-point-review-models
This is the code accompanying the paper "Recurrent Point Review Models" published at IJCNN 2020
Supervised-Dynamic-LLM
openroberta-lab
The programming environment »Open Roberta Lab« by Fraunhofer IAIS enables children and adolescents to program robots. A variety of different programming blocks are provided to program motors and sensors of the robot. Open Roberta Lab uses an approach of graphical programming so that beginners can seamlessly start coding. As a cloud-based application, the platform can be used without prior installation of specific software but runs in any popular browser, independent of operating system and device.
cvejoski's Repositories
cvejoski/Neural-Dynamic-Focused-Topic-Model
Code accompanying the paper: "Neural dynamic focused topic model." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 37. No. 11. 2023..
cvejoski/recurrent-point-review-models
This is the code accompanying the paper "Recurrent Point Review Models" published at IJCNN 2020
cvejoski/ArtificialLife
Programing task AL
cvejoski/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
cvejoski/CUDALab
cvejoski/DataMiningLab
cvejoski/dynamic-review-based-recommenders
cvejoski/kiabsicherung-metric-benchmarking-tool
The Metric Benchmarking Tool (MBT) is an application to perform standard benchmarks using the KI Absicherung (KIA) dataset for 2D object detection. It is meant to allow evaluations of the effectiveness of different methods, by comparing the results calculated by this tool using defined metrics.
cvejoski/OpenFIM
cvejoski/python-progressbar
Text progress bar library for Python
cvejoski/Supervised-Dynamic-LLM
cvejoski/supervised-dynamic-llm-old
cvejoski/Tag2Hierarchy
cvejoski/topically-driven-language-model
Tensorflow code to train TDLM
cvejoski/UnsupervisedDeepLearning-Pytorch
This repository tries to provide unsupervised deep learning models with Pytorch