{"id":19492656,"url":"https://github.com/agora-lab-ai/setinet","last_synced_at":"2026-05-01T21:03:53.046Z","repository":{"id":261846279,"uuid":"885515544","full_name":"Agora-Lab-AI/SETINet","owner":"Agora-Lab-AI","description":"SETINet is an new net for analyzing astronomical data to detect potential technosignatures of extraterrestrial intelligence. ","archived":false,"fork":false,"pushed_at":"2024-12-09T15:49:49.000Z","size":29,"stargazers_count":1,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-08T09:12:11.676Z","etag":null,"topics":["ai","alien-ai","astro-ai","astrophysics","astrophysics-research","dod","gia","gia-ai","gov","ml","nasa","planterary-security","seti","spaceforce"],"latest_commit_sha":null,"homepage":"https://discord.com/servers/agora-999382051935506503","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Agora-Lab-AI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":["kyegomez"]}},"created_at":"2024-11-08T18:29:43.000Z","updated_at":"2024-11-08T18:35:45.000Z","dependencies_parsed_at":"2024-11-08T19:33:16.519Z","dependency_job_id":"011440cf-04d2-4f52-913a-55dbd3f72f33","html_url":"https://github.com/Agora-Lab-AI/SETINet","commit_stats":null,"previous_names":["agora-lab-ai/setinet"],"tags_count":0,"template":false,"template_full_name":"The-Swarm-Corporation/Swarms-Example-1-Click-Template","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agora-Lab-AI%2FSETINet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agora-Lab-AI%2FSETINet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agora-Lab-AI%2FSETINet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agora-Lab-AI%2FSETINet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Agora-Lab-AI","download_url":"https://codeload.github.com/Agora-Lab-AI/SETINet/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240738124,"owners_count":19849549,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","alien-ai","astro-ai","astrophysics","astrophysics-research","dod","gia","gia-ai","gov","ml","nasa","planterary-security","seti","spaceforce"],"created_at":"2024-11-10T21:22:28.946Z","updated_at":"2026-05-01T21:03:53.002Z","avatar_url":"https://github.com/Agora-Lab-AI.png","language":"Python","funding_links":["https://github.com/sponsors/kyegomez"],"categories":[],"sub_categories":[],"readme":"\n# SETINet: AI-Driven Framework for Extraterrestrial Signal Detection\n\n[![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge\u0026logo=discord\u0026logoColor=white)](https://discord.gg/agora-999382051935506503) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge\u0026logo=youtube\u0026logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge\u0026logo=x\u0026logoColor=white)](https://x.com/kyegomezb)\n\n\n[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/release/python-380/)\n[![PyTorch](https://img.shields.io/badge/PyTorch-2.0+-red.svg)](https://pytorch.org/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![arXiv](https://img.shields.io/badge/arXiv-2024.xxxxx-b31b1b.svg)](https://arxiv.org/abs/)\n\n## Overview\n\nSETINet is a state-of-the-art framework for analyzing astronomical data to detect potential technosignatures of extraterrestrial intelligence. This project implements a deep learning approach to process and analyze radio telescope data, utilizing convolutional neural networks optimized for signal detection in spectral data.\n\n## Key Features\n\n- 🔭 Automated data collection from multiple radio telescope sources\n- 🤖 Deep learning-based signal detection and classification\n- 📊 Real-time data processing and analysis pipeline\n- 📈 Comprehensive visualization and monitoring tools\n- 🔍 Advanced signal processing and noise reduction\n- 💾 Efficient data management and model checkpointing\n\n## System Architecture\n\n```mermaid\ngraph TD\n    subgraph Data Pipeline\n        A[Astronomical Data Sources] --\u003e B[DataFetcher]\n        B --\u003e C[Raw Data Storage]\n        C --\u003e D[SignalProcessor]\n        D --\u003e E[Processed Data]\n    end\n\n    subgraph ML Pipeline\n        E --\u003e F[SETIDataset]\n        F --\u003e G[DataLoader]\n        G --\u003e H[SETINet Model]\n    end\n\n    subgraph Training Pipeline\n        H --\u003e I[Trainer]\n        I --\u003e J[Model Checkpoints]\n        I --\u003e K[TensorBoard Logs]\n        I --\u003e L[Training Metrics]\n    end\n\n    subgraph Model Architecture\n        M[Input Layer] --\u003e N[Conv2D + ReLU + MaxPool]\n        N --\u003e O[Conv2D + ReLU + MaxPool]\n        O --\u003e P[Conv2D + ReLU + MaxPool]\n        P --\u003e Q[Flatten]\n        Q --\u003e R[Dense + ReLU]\n        R --\u003e S[Dropout]\n        S --\u003e T[Output Layer]\n    end\n```\n\n### Data Pipeline\n```mermaid\ngraph TD\n    A[Astronomical Data Sources] --\u003e B[DataFetcher]\n    B --\u003e C[Raw Data Storage]\n    C --\u003e D[SignalProcessor]\n    D --\u003e E[Processed Data]\n```\n\n### Model Architecture\n\nThe SETINet model employs a deep convolutional neural network architecture optimized for spectral data analysis:\n\n```\nInput Layer (1 x 1024 x 1024)\n    │\n    ▼\nConv2D(32) + ReLU + MaxPool\n    │\n    ▼\nConv2D(64) + ReLU + MaxPool\n    │\n    ▼\nConv2D(128) + ReLU + MaxPool\n    │\n    ▼\nFlatten\n    │\n    ▼\nDense(512) + ReLU\n    │\n    ▼\nDropout(0.5)\n    │\n    ▼\nOutput Layer (2)\n```\n\n## Installation\n\n### Prerequisites\n\n- Python 3.8+\n- CUDA-capable GPU (recommended)\n- 16GB+ RAM\n\n### Setup\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/Agora-Lab-AI/SETINet.git\ncd SETINet\n```\n\n2. Create and activate a virtual environment:\n```bash\npython -m venv venv\nsource venv/bin/activate  # On Windows: venv\\Scripts\\activate\n```\n\n3. Install dependencies:\n```bash\npip install -r requirements.txt\n```\n\n## Usage\n\n```bash\npython main.py\n```\n\n## Contributing\n\nWe welcome contributions! Please see our [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.\n\n\n## Citation\n\nIf you use SETINet in your research, please cite our paper:\n\n```bibtex\n@article{setinet2024,\n  title={SETINet: Deep Learning Framework for Extraterrestrial Signal Detection},\n  author={Kye Gomez},\n  journal={arXiv preprint arXiv:2024.xxxxx},\n  year={2024}\n}\n```\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n\n- Breakthrough Listen Initiative for providing open-source data\n- Green Bank Observatory for radio telescope data access\n- The SETI research community for valuable feedback and contributions\n\n## ## 📬 Contact\n\n- 🌐 Website: https://agoralab.ai\n- 🐦 Twitter: [@AgoraLabAI](https://twitter.com/AgoraLabAI)\n- Twitter: [@kyegomez](https://twitter.com/kyegomez)\n- Email: kye@swarms.world\n\n---\n\n## Want Real-Time Assistance?\n\n[Book a call with here for real-time assistance:](https://cal.com/swarms/swarms-onboarding-session)\n\n---\n\n⭐ Star us on GitHub if this project helped you!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagora-lab-ai%2Fsetinet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fagora-lab-ai%2Fsetinet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagora-lab-ai%2Fsetinet/lists"}