- Goal: a python package where sequence goes in --> embeddings come out
- Goal #2: provide as many models as possible
- Goal #3 include feature predictors
Embedders:
- SeqVec v1
- SeqVec v2
- TransformerXL
- Fastext
- Glove
- Word2Vec
Feature extractors
- SeqVec v1
- DSSP8
- DSSP3
- Disorder
- Subcell loc
- Membrane boundness
- SeqVec v2
- TransformerXL
- Fastext
- Glove
- Word2Vec
- Decouple embedders from feature extractors
- Add more embedders
Use the notebooks
folder, that will always include the latest version of the src. Note: although this is in alpha, we will try to keep the API consistent.