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Python library to manipulate hyperspectral data from the SLIMBRAIN database.

Find the best hyperparameters for sklearn estimators. It supports different hyperparameter tuning techniques such as Optuna or build-in sklearn techniques suchs as GridSearchCV or RandomizedSearchCV.

Some neural networks used in the state-of-the-art regarding brain tumour classification with hyperspectral imaging. The project icon has been created with resources from Flaticon.com

Minimize multivariate functions in Python easily! Wrapper around a plethora of existing methods and implementation of other under the same interface!

This project contains all the Papify tools

This project contains the PREESM and SPiDER dataflow versions of the HELICoiD processing chain.

This project contains all the ubenchmarks created to extract the energy consumption MPPA model

Reference design for GNU Radio extension on a Generic Accelerator Platform

Final version of SSE4.2 implementation in decoder.

Test of hyperspectral data orderings (BSQ, BIP and BIL) using PCA methods (Jacobi, NIPALS) with the NVIDIA Jetson TX1 system.

GNU Radio DVB-T receiver