itu

There are 80 repositories under itu topic.

  • inigodelportillo/ITU-Rpy

    A python implementation of the ITU-R P. Recommendations for atmospheric attenuation modeling

    Language:Python1171730163

  • idincern/idincern-husky

    AUTONOMOUS ROBOT NAVIGATION USING ROS Clearpath Husky A200 robot with Gazebo and RViz simulations using different SLAM and Path Planning algorithms. 360 degrees laser scan with two SICK LMS511 LIDARs

    Language:C++873230

  • Telecommunication-Telemedia-Assessment/bitstream_mode3_p1204_3

    Open source reference implementation of ITU-T P.1204.3

    Language:Python5741815

  • 0xferit/ITU-Turkish-NLP-Pipeline-Caller

    A Python3 wrapper tool to help using ITU Turkish NLP Pipeline API -- UNMAINTAINED --

    Language:Python448219

  • lasseufpa/ITU-Challenge-ML5G-PHY-RL

    Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"

    Language:Python287112

  • ITUscheduler/ITUscheduler

    This project is DEPRECATED, check out the new implementation below.

    Language:HTML253294

  • NTIA/p528

    U.S. reference implementation of Recommendation ITU-R P.528 providing propagation path loss predictions for aeronautical mobile and radionavigation services using the VHF, UHF, and SHF bands

    Language:C++256713

  • space-physics/grwave

    Python for ITU P.368 : Ground-wave propagation curves for frequencies between 10 kHz and 30 MHz

    Language:Fortran248412

  • mendel5/internet-access

    Overview of telecommunication standards and technologies for internet access

    14403

  • AktugHakan/NinovaArsivci

    Ninova'daki dosyaları toplu bir şekilde indirmek için bir Python programı

    Language:Python13271
  • Radar-Interference-Prediction-ITU-p452

    atsiflikiotis/Radar-Interference-Prediction-ITU-p452

    This a Python GUI program to compute the basic transmission loss according to ITU-R P.452-16 recommendation, compatible with NASA's SRTM data to generate the elevation profile path.

    Language:Python13203

  • wiless/channelmodel

    Library routines for the different pathloss model from 3GPP & ITU for IMT2020 evaluation & 5G simulation works

    Language:Go13404

  • JonathanWilbur/asn1-modules

    Almost all ASN.1 modules published by the ITU-T, ISO, and the Joint ISO-ITU-T

    8200

  • AnalogIO/coffeecard_app

    Cross-platform coffee card app for Cafe Analog

    Language:Dart662221

  • HydenLiu/itu-nav-code

    🍻 艾兔db - 程序员导航

    Language:TypeScript6002

  • NTIA/p528-gui

    A graphical user interface application for Recommendation ITU-R P.528

    Language:C#6481

  • Wildboar-Software/pp

    The legendary X.400 Message Transfer Agent (MTA)

    Language:C6222

  • lloda/prop-618

    Propagation models for Earth-space communications from ITU-R P.618

    Language:CMake5304
  • country-database

    sivakumar-mahalingam/country-database

    Comprehensive repository of global country details, including country codes, calling codes, currency codes, and more

    51
  • ITU-ZES-Solar-Car-Team-Assignment

    cavadibrahimli1/ITU-ZES-Solar-Car-Team-Assignment

    Contains answers to the entrance assignment for the ITU ZES Solar Car Team.

    Language:Python4100

  • Collen-Roller/flydenity

    Aircraft Registration Prefix Dataset

    Language:Jupyter Notebook4363

  • idincern/itu_odv

    ISTANBUL TECHNICAL UNIVERSITY ROBOTICS LAB MECANUM WHEELED OMNIDIRECTIONAL VEHICLE

    Language:C++4201

  • NTIA/p2108

    U.S. reference implementation of Recommendation ITU-R P.2108 on the prediction of clutter loss for terrestrial and airborne paths.

    Language:C#4220

  • gbudanur/itu_dersci

    İTÜ Dersçi is a Flask application that stores course schedules of ITU undergraduate programs, notifies you when a quota is available and helps you with your course registrations

    Language:Python3100

  • ITU-GeoAI-Challenge/Location-Mention-Recognition-Solution-By-Team-Ingenuity-in-ITU-Challenge

    An award winning Solution by Team-Ingenuity using Deep Machine Learning and NLP for Location Mention Recognition Challenge hosted by ITU 2022

    Language:Jupyter Notebook3101
  • MS-Thesis

    ozgurural/MS-Thesis

    My Master of Science Thesis Project related researches, projects and documents.

    Language:HTML32140

  • AtaTrkgl/itu-ders-secici

    İTÜ Kepler üzerinden zamanlayıcılı ders seçim uygulaması.

    Language:Python2

  • KunaCornejo/ITU-R-P.1853

    The ITU Recommendation P.1853 details how the time series synthesis method generates a time series that reproduces the spectral characteristics, fade slope, and fade duration statistics of rain attenuation events. Also, the statistics of the inter-fade duration are reproduced but solely within individual events of the rain-attenuation.

    Language:MATLAB2120

  • mstrlc/itu-project

    FIT VUT – ITU – JS + Svelte calories tracker team project

    Language:Svelte2300

  • tomashobza/sync.app

    Web app developed in SvelteKit integrating Firebase for authentication, database, and hosting. Created for the ITU course at FIT VUT, 2023.

    Language:Svelte2100

  • wiless/ITUmodels

    Channel models from ITU

    Language:MATLAB2203

  • bahremsd/itutextemplates

    This repository contains LaTeX templates for Istanbul Technical University, including theses, assignments, emails, and slides. These templates are designed to help students produce professional and well-structured documents for various academic needs.

    Language:TeX10

  • cavadibrahimli1/Flower_Recognition_using_CNN_MobilenetV2

    Welcome to the Flower Recognition Using Convolutional Neural Network project! This repository features a deep learning model designed to accurately classify and recognize different flower species using Convolutional Neural Networks (CNNs). The project utilizes the MobileNetV2 architecture for its efficiency in image recognition tasks.

    Language:Jupyter Notebook1100

  • cavadibrahimli1/ITU_HOMEWORK_LATEX_SAMPLE

    İstanbul Teknik Üniversitesi İçin LaTeX Ödev Örneği

    110

  • cavadibrahimli1/Urban-Noise-Classification-ML

    This project classifies urban noise using machine learning models such as DNN, CNN, LSTM, and Random Forest. Utilizing the UrbanSound8K dataset, it aims to accurately identify different urban sounds, aiding in noise monitoring and management. Key features include robust model comparison and real-time deployment potential.

    Language:Jupyter Notebook1100

  • jcivitel/py_itu_change

    Python script to process publications by the ITU faster and easier

    Language:Python1100