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bratekai's Projects

labelimg icon labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

leoncam icon leoncam

Home surveillance with ONVIF IP network cameras

leptonic icon leptonic

A web GUI and several utilities for working with FLIR® Lepton® 3 LWIR camera modules.

librsf icon librsf

A robust sensor fusion library for online localization.

machine_learning_lectures icon machine_learning_lectures

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

matlab--toolbox--erplab icon matlab--toolbox--erplab

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

matlab--toolbox--fsda icon matlab--toolbox--fsda

FSDA (Flexible Statistics and Data Analysis) extends MATLAB and the Statistics Toolbox for the robust analysis of data sets affected by different sources of heterogeneity. Code for any function is open and extensible. FSDA is open source software licensed under the terms of the European Union Public Licence (EUPL)

matlab--toolbox--toolbox_roboust icon matlab--toolbox--toolbox_roboust

This document contains the functions that are currently available in the RobustSP toolbox: a Matlab toolbox for robust signal processing. The toolbox can be freely used for non-commercial use only. Please make appropriate references to our book: Zoubir, A. M., Koivunen, V., Ollila, E., and Muma, M. Robust Statistics for Signal Processing Cambridge University Press, 2018.

matraw icon matraw

Read and Process Camera Raw Data with MATLAB

multipathnet icon multipathnet

A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

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