There are 0 repository under seti topic.
Python library for generating and injecting artificial narrow-band signals into radio frequency data
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence
Use TensorFlow and convolutional neural networks with PowerAI to classify radio signals from outer space
Source code to read and decode the images from the Voyager 1 space craft's Golden Record.
A SETI / technosignature search code to find intelligent life beyond Earth
Breakthrough Listen Investigation for Periodic Spectral Signals
Voyager 1 is a space probe that was launched by NASA on September 5, 1977. Part of the Voyager program to study the outer Solar System, Voyager 1 was launched 16 days after its twin, Voyager 2. --Wikipedia
Classifying Radio signal coming from space
Hosts a web-based quiz for a revised Rio Scale (and a command line version using Python)
Modelling the behaviour of self-replicating interstellar probes after mutation into predator-prey populations
Python package to use OPUS (NASA-PDS/Seti) search tool API.
Python code that simulates the formation of causally connected groups of civilisations
A derivative of Monokai Seti (for Atom) for Visual Studio Code.
SETI Synthesis Imaging (SETISIM) : A python based package for Synthesis Imaging using CASA for SETI. Spectral Imaging for uGMRT data
This repository was made as an archive for work on the Kaggle competition: SETI Breakthrough Listen - E.T. Signal Search
GNU Radio out-of-tree module for handling GUPPI raw files
Breakthrough Listen's interface to MeerKAT :telescope: :alien:
(VB6) SETImap - tracks Seti@home datafiles and locates signals on a skymap
turboSETI blocks and flowgraph for GNU Radio
Projet de modélisation d'un système dynamique de la cadre de l'atelier de recherche encadrée (ARE) 2021.
Open research projects on technosignatures
Третья лаба по сетям за 5 семестр: CRC, Parity Control
Networking and data processing software for target selection for MeerKAT commensal observations
Transformer/BERT models trained on the Breakthrough Listen Kaggle dataset.
An End-to-End Deep Learning project for classifying SETI signals using Convolutional Neural Networks (CNNs), MLFlow and DVC.
👽📡 Generation and decryption of the famous Seti Decrypt Challenge message
Atom syntax, extends from seti-syntax, but more vivid.
Applying ML methods to search for additional intermodulation products from blc1 observations.