Integrate with Machine Learning Framework: PyTorch

[nickna]

Description:

Enhance Neighborly by providing seamless integration PyTorch for embedding and retrieving vector representations.

Tasks:

• Implement integration with PyTorch to use its models for vector embeddings.
• Create examples and documentation demonstrating how to use these integrations.

Resources:

• PyTorch.NET

Impact:

These integrations will allow users to utilize powerful pre-trained models for generating vector embeddings, significantly enhancing Neighborly's utility in machine learning applications.

How to Contribute:

1. Fork the repository and create a new branch for your changes.
2. Implement the integrations and create example applications.
3. Ensure all new and existing tests pass.
4. Submit a pull request with a detailed description of the changes.