{"id":19492661,"url":"https://github.com/agora-lab-ai/stellarnet","last_synced_at":"2025-09-14T18:51:37.831Z","repository":{"id":261834684,"uuid":"885418768","full_name":"Agora-Lab-AI/StellarNet","owner":"Agora-Lab-AI","description":"An AI system probing the possibility that stars may possess primitive forms of information processing. By analyzing complex patterns in stellar emissions using deep learning, we search for signatures of self-organization and structured behavior that transcend random processes.","archived":false,"fork":false,"pushed_at":"2025-01-13T18:18:56.000Z","size":37,"stargazers_count":1,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-25T20:18:36.809Z","etag":null,"topics":["ai","astrology","astrology-ai","astrologyai","astrologynets","astrophysics","astrophysicsai","solar-systems","suns"],"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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null},"funding":{"github":["kyegomez"]}},"created_at":"2024-11-08T14:49:11.000Z","updated_at":"2025-01-03T13:22:46.000Z","dependencies_parsed_at":"2024-11-08T18:21:29.983Z","dependency_job_id":"a1d0c77f-047f-4b9d-ba79-16cb02ccd4d0","html_url":"https://github.com/Agora-Lab-AI/StellarNet","commit_stats":null,"previous_names":["agora-lab-ai/stellarnet"],"tags_count":0,"template":false,"template_full_name":"The-Swarm-Corporation/Swarms-Example-1-Click-Template","purl":"pkg:github/Agora-Lab-AI/StellarNet","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agora-Lab-AI%2FStellarNet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agora-Lab-AI%2FStellarNet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agora-Lab-AI%2FStellarNet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agora-Lab-AI%2FStellarNet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Agora-Lab-AI","download_url":"https://codeload.github.com/Agora-Lab-AI/StellarNet/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agora-Lab-AI%2FStellarNet/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":275152214,"owners_count":25414446,"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","status":"online","status_checked_at":"2025-09-14T02:00:10.474Z","response_time":75,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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","astrology","astrology-ai","astrologyai","astrologynets","astrophysics","astrophysicsai","solar-systems","suns"],"created_at":"2024-11-10T21:22:29.180Z","updated_at":"2025-09-14T18:51:37.764Z","avatar_url":"https://github.com/Agora-Lab-AI.png","language":"Python","funding_links":["https://github.com/sponsors/kyegomez"],"categories":[],"sub_categories":[],"readme":"\n# StellarNet 🌟\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[![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![PyTorch](https://img.shields.io/badge/PyTorch-2.0+-orange.svg)](https://pytorch.org/)\n[![License](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)\n[![arXiv](https://img.shields.io/badge/arXiv-2024.xxxxx-b31b1b.svg)](https://arxiv.org/)\n\n\nStellarNet: An AI system probing the possibility that stars may possess primitive forms of information processing. By analyzing complex patterns in stellar emissions using deep learning, we search for signatures of self-organization and structured behavior that transcend random processes.\n\n\n## Overview\n\nThis project implements a comprehensive analysis pipeline for investigating potential \"consciousness-like\" patterns in stellar data using PyTorch and astronomical data from TESS and Kepler missions.\n\n\n## Features\n\n- 🔬 Real-time analysis of stellar light curves from TESS/Kepler missions\n- 🧠 LSTM-based pattern detection for stellar behavior prediction\n- 📊 Comprehensive entropy and frequency analysis\n- 🔍 Anomaly detection in stellar emissions\n- 📈 Advanced visualization of stellar patterns\n\n## Installation\n\n```bash\n# Clone the repository\ngit clone https://github.com/Agora-Lab-AI/StellarNet.git\ncd StellarNet\n\n# Create and activate a virtual environment (optional but recommended)\npython -m venv venv\nsource venv/bin/activate  # On Windows, use `venv\\Scripts\\activate`\n\n# Install dependencies\npip install -r requirements.txt\n```\n\n## Quick Start\n\n```bash\npython main.py\n```\n\nBy default, the script analyzes a set of pre-selected variable stars. To analyze specific stars:\n\n```bash\npython main.py --star_id \"TIC 260128333\" --mission \"TESS\"\n```\n\n\n## Requirements\n\n- Python 3.10+\n- PyTorch\n- lightkurve\n- astropy\n- numpy\n- pandas\n- scipy\n- scikit-learn\n- matplotlib\n\nSee `requirements.txt` for complete list.\n\n## Methodology\n\nOur analysis pipeline consists of several key components:\n\n1. **Data Collection**: Automated fetching of stellar light curves from TESS/Kepler missions\n2. **Preprocessing**: Cleaning and normalization of time-series data\n3. **Pattern Analysis**:\n   - Shannon entropy calculation\n   - Fourier analysis\n   - LSTM-based pattern prediction\n   - Anomaly detection\n4. **Visualization**: Comprehensive plotting of results\n\n## Results\n\nAnalysis results are saved in the `results/` directory with the following structure:\n- `{star_id}_analysis.npz`: Numerical results and statistics\n- `{star_id}_plots.png`: Visualization plots\n- `models/{star_id}_model.pt`: Trained LSTM model\n\n## Contributing\n\nWe welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.\n\n1. Fork the repository\n2. Create a feature branch\n3. Commit your changes\n4. Push to the branch\n5. Open a Pull Request\n\n## Citation\n\nIf you use this code in your research, please cite:\n\n```bibtex\n@article{stellarnet2024,\n  title={StellarNet: Investigating Information Processing Patterns in Stellar Emissions},\n  author={Agora Lab AI, 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- NASA's TESS and Kepler missions for providing stellar data\n- The lightkurve team for their excellent data access tools\n- The astropy community for their comprehensive astronomy tools\n\n## Contact\n\n- **Website**: [https://agoralab.ai](https://agoralab.ai)\n- **Issues**: [GitHub Issues](https://github.com/Agora-Lab-AI/StellarNet/issues)\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%2Fstellarnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fagora-lab-ai%2Fstellarnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagora-lab-ai%2Fstellarnet/lists"}