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Python library to manipulate hyperspectral data from the SLIMBRAIN database.

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

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.

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

GNU Radio coprocessor (DSP) offload infrastructure for Texas Instruments Keystone II processors

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

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

This project contains all the Papify tools

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

Final version of SSE4.2 implementation in decoder.