Contribute to microsoft/protein-sequence-models development by ... ByteNet uses stacked convolutional encoder and decoder layers to preserve ... n2d_layers = 61 # keep at 61 if you want to use ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

Autoencoders for protein sequences: Deep learning models that capture and reconstruct meaningful representations of protein sequence data. ... sequence generation, and protein structure prediction.

These models are capable of learning a low-dimensional representation through the encoder model while predicting new protein conformations through the decoder model. Moreover, the learned latent space ...

They are the key innovation behind AlphaFold, DeepMind’s protein structure prediction model. Codex, ... But not all transformer applications require both the encoder and decoder module.