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Enric M. Calvo's Projects

applying_eanns icon applying_eanns

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

aspp-2017 icon aspp-2017

Material for the Advanced Scientific Python Programming course, Nikiti, Greece, 2017

bandsaw icon bandsaw

A Python package for retrieving and processing Basis Band data.

basis-data-export icon basis-data-export

Utility that exports your Basis device's uploaded sensor device data from their website.

basisb1 icon basisb1

A Python wrapper for the RESTful (hidden) BasisB1 API

bayer2rgb icon bayer2rgb

Command line utility to convert bayer grid data to rgb data. Integrates with ImageMagick.

beaglelogic icon beaglelogic

A Software Suite that implements a logic analyzer with the PRU on the BeagleBone / BeagleBone Black.

bleno icon bleno

A Node.js module for implementing BLE (Bluetooth Low Energy) peripherals

bluetoothgatt icon bluetoothgatt

NewCircle Android Training: Application that communicates using the Bluetooth GATT profile

blurtestandroid icon blurtestandroid

This is a simple App to test someblur algorithms on their visualquality and performance

bob icon bob

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.

bup icon bup

Very efficient backup system based on the git packfile format, providing fast incremental saves and global deduplication (among and within files, including virtual machine images). Current release is 0.29.1, and the development branch is master. Please post problems or patches to the mailing list for discussion (see the end of the README below).

ce9010_2018 icon ce9010_2018

Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18

computelibrary icon computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

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