Python API

The functionality of bio_embeddings is split into 5 different modules

bio_embeddings.embed	Language models to translate amino acid sequences into vector representations
bio_embeddings.extract	Methods for predicting properties of proteins, both on a per-residue and per-protein level, including supervised (pre-trained) and unsupervised (nearest neighbour search) methods
bio_embeddings.project	Visualize high dimensional data with t-SNE or UMAP projections or project Bert embeddings with Tucker
bio_embeddings.utilities	Various helpers
bio_embeddings.visualize	Display t-SNE or UMAP projections from the project stage