A jupyter notebook describing Time Series analysis (ARIMA, VAR, VARMAX) on Satellite Orbit Prediction. This dataset and problem was part of IDAO 2020 (International Data Analysis Olympiad)

Satellite tracking, orbital prediction, open-source software

Predictions the Year of the Orbital Elements of Near-Earth Comets - Artificial Intelligence Project

This project predicts Exoplanets that orbit around other stars in deep space beyond our solar system. using the machine learning technique K-Nearest Neighbor (KNN).

Predicts satellite orbits using advanced physics models. Supports multiple satellites and accurate visualization. Enhance your understanding of satellite dynamics!

Python library for satellites in LEO (Low Earth Orbit): propagation, predictions & more

This project uses machine learning to predict Falcon 9 booster landings based on SpaceX launch data. Key factors include launch site, payload mass, orbit type, and booster reusability. The model ac…

fetches satellite TLEs from celestrak and stores them in a local database

Predicts satellites orbital parameters using TLE

Codework for Orbit Propagation and Line-Of-Site Visibility Analysis using TLEs

Detecting Space debris from satellites using TLE data

Real-time satellite tracker and orbit propagator

Utilizing big data and machine learning techniques to improve orbit propagation of Earth-orbiting objects from publically available TLE data.

Given multiple NORAD Two-Line-Element (TLE) files, this simple matlab visualization tool plots the orbits of the satellites around Earth.

🛰️Orbital Object Toolkit Core. A modern typed replacement for satellite.js including SGP4 propagation, TLE parsing, Sun and Moon calculations, and more.

Python script that can plot a given satellite's TLE and train a linear regression model to predict future satellite's state vector.

🛰️ Satellite TLE tools in JavaScript: get lat/lon of satellites, get look angles, plot orbit lines, extract individual TLE elements, etc

TLE Tailor is a set of pure-python tools to generate Two Line Element Sets (TLEs) for Earth-orbiting satellites.

Code for the SGP4/SDP4 satellite motion model, and for manipulating TLEs (Two-Line Elements).

satellite-track is an application for satellite orbit visualization based on TLE data

Modular set of functions for SGP4 and SDP4 propagation of TLE and OMM.

Implement RNNs by PyTorch for automatic POS tagging

A stacked LSTM network that predicts space debris reentry trajectory using its TLE Data