{"id":26811228,"url":"https://github.com/exios66/multi-computations","last_synced_at":"2025-10-17T22:29:24.476Z","repository":{"id":282957636,"uuid":"949677754","full_name":"Exios66/Multi-Computations","owner":"Exios66","description":null,"archived":false,"fork":false,"pushed_at":"2025-03-17T20:53:15.000Z","size":96,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-17T21:37:50.190Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/Exios66.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-17T00:38:36.000Z","updated_at":"2025-03-17T20:53:18.000Z","dependencies_parsed_at":"2025-03-17T21:50:23.003Z","dependency_job_id":null,"html_url":"https://github.com/Exios66/Multi-Computations","commit_stats":null,"previous_names":["exios66/multi-computations"],"tags_count":0,"template":true,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Exios66%2FMulti-Computations","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Exios66%2FMulti-Computations/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Exios66%2FMulti-Computations/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Exios66%2FMulti-Computations/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Exios66","download_url":"https://codeload.github.com/Exios66/Multi-Computations/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246266271,"owners_count":20749754,"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":[],"created_at":"2025-03-30T01:38:02.423Z","updated_at":"2025-10-17T22:29:19.441Z","avatar_url":"https://github.com/Exios66.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multi-Computations\n\nA comprehensive framework for multimodal data analysis and processing, focusing on EEG, gaze tracking, and working memory task computations.\n\n## Overview\n\nThis project provides a suite of tools and utilities for processing and analyzing multiple types of experimental data, specifically designed for cognitive science and neuroscience research. It includes modules for:\n\n- EEG data processing and analysis\n- Gaze tracking data processing\n- Working memory task computations\n- Synthetic data generation for testing\n- Comprehensive reporting tools\n\n## Project Structure\n\n```\n.\n├── docs/               # Documentation files\n├── src/               # Source code\n│   ├── EEG-Py/       # EEG processing modules\n│   ├── Gaze-Python/  # Gaze tracking analysis\n│   ├── WM-Tasks/     # Working memory task implementations\n│   ├── python/       # Core Python utilities and reporting\n│   └── utility/      # Common utility functions\n├── testing/          # Test files and test data\n└── requirements.txt  # Project dependencies\n```\n\n## Installation\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/yourusername/Multi-Computations.git\ncd Multi-Computations\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## Requirements\n\n- Python 3.8+\n- Dependencies listed in requirements.txt:\n  - pandas \u003e= 1.3.0\n  - numpy \u003e= 1.20.0\n  - matplotlib \u003e= 3.4.0\n  - scipy \u003e= 1.7.0\n  - mne \u003e= 0.23.0\n  - scikit-learn \u003e= 0.24.0\n  - And more...\n\n## Usage\n\nEach component has its own specific usage instructions. Please refer to the README files in each subdirectory for detailed information:\n\n- [EEG Processing](src/EEG-Py/README.md)\n- [Gaze Tracking](src/Gaze-Python/README.md)\n- [Working Memory Tasks](src/WM-Tasks/README.md)\n- [Reporting Tools](src/python/README.md)\n\n## Testing\n\nThe project includes comprehensive test suites and synthetic data generation for testing purposes:\n\n```bash\npython test_synthetic.py  # Run synthetic data tests\npython -m pytest testing/ # Run all tests\n```\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Contributing\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/AmazingFeature`)\n3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)\n4. Push to the branch (`git push origin feature/AmazingFeature`)\n5. Open a Pull Request\n\n## Contact\n\nFor questions and support, please open an issue in the GitHub repository.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexios66%2Fmulti-computations","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fexios66%2Fmulti-computations","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexios66%2Fmulti-computations/lists"}