seti
There are 0 repository under seti topic.
- Language:Python 392
bbrzycki / setigen
Python library for generating and injecting artificial narrow-band signals into radio frequency data
Language:Jupyter Notebook 25sgrvinod / Wide-Residual-Nets-for-SETI
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence
Language:Python 25IBM / powerai-seti-signal-classification
Use TensorFlow and convolutional neural networks with PowerAI to classify radio signals from outer space
Language:Jupyter Notebook 18mmcc1 / Voyager-Golden-Record-Decoder
Source code to read and decode the images from the Voyager 1 space craft's Golden Record.
Language:C# 14UCBerkeleySETI / blipss
Breakthrough Listen Investigation for Periodic Spectral Signals
Language:Python 11A SETI / technosignature search code to find intelligent life beyond Earth
Language:Jupyter Notebook 11xieguigang / voyager-1
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
Language:HTML 9- Language:Lua 5
prabormukherjee / Radio_signal_classification
Classifying Radio signal coming from space
Language:Jupyter Notebook 5DuncanForgan / rioscale2
Hosts a web-based quiz for a revised Rio Scale (and a command line version using Python)
Language:JavaScript 4Modelling the behaviour of self-replicating interstellar probes after mutation into predator-prey populations
Language:C++ 3seignovert / python-opus-seti
Python package to use OPUS (NASA-PDS/Seti) search tool API.
Language:Jupyter Notebook 3Agora-Lab-AI / SETINet
SETINet is an new net for analyzing astronomical data to detect potential technosignatures of extraterrestrial intelligence.
Language:Python 2Python code that simulates the formation of causally connected groups of civilisations
Language:Python 2A Python framework for agent-based simulations of (radio) SETI observations
Language:Python 2- Language:Rust 2
15-minute-discourse / seti
Associated repository for the "How we've been searching for extraterrestrial life and current attempts to establish first contact!" 15 minute discourse podcast on YouTube!
adityavm / vscode-monokai-seti
A derivative of Monokai Seti (for Atom) for Visual Studio Code.
avialxee / setisim
SETI Synthesis Imaging (SETISIM) : A python based package for Synthesis Imaging using CASA for SETI. Spectral Imaging for uGMRT data
Language:Python 1cbizz2050 / seti-signals
This repository was made as an archive for work on the Kaggle competition: SETI Breakthrough Listen - E.T. Signal Search
Language:Jupyter Notebook 1daniestevez / gr-guppi
GNU Radio out-of-tree module for handling GUPPI raw files
Language:CMake 1ejmichaud / meerkat-backend-interface
Breakthrough Listen's interface to MeerKAT :telescope: :alien:
Language:Python 1- Language:R 1
Stats-M / vb6-1999-SETImap
(VB6) SETImap - tracks Seti@home datafiles and locates signals on a skymap
Language:VBA 1youais / gr-turboseti
turboSETI blocks and flowgraph for GNU Radio
Language:CMake 1- Language:Jupyter Notebook 0
are-dynamic-2021-g5 / foret-sombre
Projet de modélisation d'un système dynamique de la cadre de l'atelier de recherche encadrée (ARE) 2021.
Language:Python 0bhuvaneshprasad / End-to-End-SETI-Classification-using-CNN-MLFlow-DVC
An End-to-End Deep Learning project for classifying SETI signals using Convolutional Neural Networks (CNNs), MLFlow and DVC.
Language:Jupyter Notebook 0gemmadanks / technosignatures
Open research projects on technosignatures
Language:Jupyter Notebook 0S-u-e-t-a / Roman_5Sem_Seti_Lab3
Третья лаба по сетям за 5 семестр: CRC, Parity Control
Language:C# 0- Language:Python 0
zachtheyek / autoSETI
Transformer/BERT models trained on the Breakthrough Listen Kaggle dataset.
Language:Jupyter Notebook 0FrancescaDiaferia / Breakthrough-Listen-SRT-Internship-2024
This repository contains the codes used for data analysis during my summer internship at the Astronomical Observatory of Cagliari. The codes are mainly based on the use of the TURBOseti software, which filters data according to selection criteria to identify potential technosignatures.
Language:PythonApplying ML methods to search for additional intermodulation products from blc1 observations.
Language:Jupyter Notebook
