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Python library to manipulate hyperspectral data from the Slim Brain database.
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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.
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Jaime Sancho / Jetson-TX1-Energy-Measurement
BSD 3-Clause "New" or "Revised" LicenseUpdated -
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Public Projects / Hyperspectral / Spectral-Spatial Majority Voting
Apache License 2.0Updated -
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This project contains the PREESM and SPiDER dataflow versions of the HELICoiD processing chain.
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This project contains all the ubenchmarks created to extract the energy consumption MPPA model
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GNU Radio coprocessor (DSP) offload infrastructure for Texas Instruments Keystone II processors
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Test of hyperspectral data orderings (BSQ, BIP and BIL) using PCA methods (Jacobi, NIPALS) with the NVIDIA Jetson TX1 system.
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Minimize multivariate functions in Python easily! Wrapper around a plethora of existing methods and implementation of other under the same interface!
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victor.arandal / VVenC SIMDe Neon
BSD 3-Clause "New" or "Revised" LicenseVVenC v1.4 optimized with SIMD operations for ARM Neon processor. SIMDe library is used for conversion of x86 SIMD operations to Neon.
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