A submodule containing Tensorflow models for various machine learning-based protocols.
- Created as "trRosetta" repo on 21 Jan 2021 by Vikram K. Mulligan, Flatiron Institute ([email protected]).
- Renamed to "tensorflow_graphs" repo on 22 Jan 2021.
A machine learning model that takes an input multiple sequence alignment and produces an output estimate of pairwise residue distances and angles, useful for protein structure prediction.
Several machine learning models that take structural and sequence information as input features and predict various post-translational modifications, meant to be used with Rosettas PTMPredictionMetric.
Contains the Evolutionary Scaling Modeling language model family from the FAIR team, adapted from PyTorch to Tensorflow by Huggingface.