Discover dbalabka/semi-supervised-har Open Source project

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Jupyter Notebook
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MIT License
Created over 5 years ago
Updated over 5 years ago

dbalabka

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The source of the solution of SHL recognition challenge 2019 based on Semi-supervised Adversarial Autoencoders (AAE) for Human Activity Recognition (HAR)

php-enumeration

Implementation of enumeration classes in PHP. The better alternative for enums

PHP

aerys-benchmark

Amphp HTTP server (aka Ayres) PHP non-blocking HTTP server benchmark

Shell

phpdebug-cli

XDebug and Zend Debugger PHP CLI debugging helper console command with PhpStorm, NetBeans support

Shell

shl-activity-recognition-2021

The goal of this year edition is to recognize 8 modes of locomotion and transportation (activities) in a user-independent manner based on radio-data, including GPS reception, GPS location, Wifi reception and GSM cell tower scans. This is different from the previous three years that aimed at transportation mode recognition from the motion sensors.

Jupyter Notebook

dag

Directed acyclic graph of tasks implementation based on Amphp promises

PHP

php-objects-vs-arrays-benchmark

There no benefit to fetch array instead of objects from database when you use PDO. PHP object use less memory and same fast or even faster then arrays.

PHP

doctrine-mysql-fiber-driver

Doctrine MySQL driver with Fiber support based on Amphp

PHP

AmpBundle

AmpBundle enable to run Symfony inside Amp non-blocking HTTP server.

PHP

ebooks-tools

VM with tools for converting Djvu to PDF, OCR for text layer creation.

Shell

r-systems-modeling

lex.js

JavaScript

recommender-systems-in-production

List of recommendation systems that are used in production

presentation-video-recording-helper

JavaScript

dbalabka/semi-supervised-har

dbalabka

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