9 Repositories
Python formation-flying Libraries
Fantasy Points Prediction and Dream Team Formation
Fantasy-Points-Prediction-and-Dream-Team-Formation Collected Data from open source resources that have over 100 Parameters for predicting cricket play
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising (CVPR 2020 Oral & TPAMI 2021)
ELD The implementation of CVPR 2020 (Oral) paper "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising" and its journal (TPAMI) v
This application aims to read all wifi passwords and visualizes the complexity in graph formation by taking into account several criteria and help you generate new random passwords.
This application aims to read all wifi passwords and visualizes the complexity in graph formation by taking into account several criteria and help you generate new random passwords.
Fast Learning of MNL Model From General Partial Rankings with Application to Network Formation Modeling
Fast-Partial-Ranking-MNL This repo provides a PyTorch implementation for the CopulaGNN models as described in the following paper: Fast Learning of MN
CONCEPT (COsmological N-body CodE in PyThon) is a free and open-source simulation code for cosmological structure formation
CONCEPT (COsmological N-body CodE in PyThon) is a free and open-source simulation code for cosmological structure formation. The code should run on any Linux system, from massively parallel computer clusters to laptops.
The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.
Balloon Learning Environment Docs The Balloon Learning Environment (BLE) is a simulator for stratospheric balloons. It is designed as a benchmark envi
LEOGPS - Satellite Navigation with GPS on Python!
LEOGPS is an open-source Python software which performs relative satellite navigation between two formation flying satellites, with the objective of high accuracy relative positioning. Specifically, LEOGPS solves for the double-differenced baseline (using float ambiguity resolution) between satellites flying in formation in Low Earth Orbit (LEO).
Source code, data, and evaluation details for “Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Formation, and Ramifications”
Analysis of cross-lingual citations in English papers Contents initial_analysis Source code, data, and evaluation details as published at ICADL2020 ci
QLUSTER is a relative orbit design tool for formation flying satellite missions and space rendezvous scenarios
QLUSTER is a relative orbit design tool for formation flying satellite missions and space rendezvous scenarios, that I wrote in Python 3 for my own research and visualisation. It is currently unfinished (95%) but the core algorithm and app works. Here's an example snippet of the GUI where four deputy satellites are orbiting a single chief in LEO.