anathonic

anathonic

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Company:Polish-Japanese Academy of Information Technology

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anathonic's repositories

Assembly-x86-32-ATT

Small programs written in Assembler x86 IA-32 AT&T syntax

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Cloud-Computing-loT

Microsoft Azure Laboratories

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Artificial-Intelligence-Methods-Final-Project

Emotion detector using TensorFlow

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NASM-Assembly-x86-64-Intel

testing Assembler x86_64 in the Intel syntax

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Mobile-applications

Xamarin Mobile App Development

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Modeling-and-Design-WebServices

API in Node.js, creating endpoints and testing

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AudioPlugin

EQ Plugin created with C++17 and JUCE framework

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Fourier-Transform-with-Aphex-Twin

Aphex Twin Spectograms (Windowlicker and Formula) using Fournier Transform

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License-Plate-Detection

License Plate Detection using imutils and easyocr library

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MobileApplicationsFinalProject

CDV Shop Application with Azure Database and Web API

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The-Cpp-Programming-Language

The C++ compendium of knowledge based on "The C++ Programming Language Fourth Edition" by Bjarne Stroustrup

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Shokuryhin

Grocery shopping list application

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Big-Data-Mining-Project

This repository contains the implementation of a machine learning project aimed at predicting movie ratings based on user reviews and tags. The data used for this project comes from the MovieLens dataset, which includes ratings and tags for over 9000 movies collected from 1995 to 2016.

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g2opy

Python binding of SLAM graph optimization framework g2o

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ORB_SLAM3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

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pyslam

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

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Trajectory-Comparison-ORB-SLAM3-pySLAM

It is one of the part of my master's thesis, involving computing the Absolute Pose Error (APE) and Relative Pose Error (RPE) of trajectories collected from two environments: PySLAM (my implementation of trajectory saving) and ORB-SLAM3

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