Progres

- The AlphaFold database TED domains are made available to search against, with FAISS used for fast searching.
- Pre-embedded databases are stored as Float16 to reduce disk usage.
- Datasets and scripts for benchmarking (including for other methods), FAISS index generation and training are made available.

- Change model architecture to use 6 EGNN layers and tau torsion angles, making it faster and SE(3)-invariant rather than E(3)-invariant.
- The AlphaFold models for 21 model organisms are made available to search against.
- The trained model and pre-embedded databases are downloaded from Zenodo rather than GitHub when first running the software.

- Fix data download.

- Add ECOD database.
- Use versioned model directory.

- Add einops dependency.
- Add code for ECOD database.

Initial release of the `progres` Python package for fast protein structure searching using structure graph embeddings.