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Python library to manipulate hyperspectral data from the Slim Brain 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.

GNU Radio DVB-T receiver

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

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

Contains 2 projects:

Python-app: Record, encode and upload Smartphone-app: download, decode and visualize

VVenC v1.4 optimized with SIMD operations for ARM Neon processor. SIMDe library is used for conversion of x86 SIMD operations to Neon.

Final version of SSE4.2 implementation in decoder.

This project contains all the Papify tools