Comparing different autoencoder architectures in order to predict nanobodies sequences from their 3D structure

Hackathon project

For project report see - 'autoencoder_architectures_to_predict_nanobodies_sequences.pdf'

For user manual see - 'User_manual.pdf'

Collaborators: Adi Avni, Iris Schodl, Shlomit Gila, Avishai Elmakies, Noam Ben Sason.

Name		Name	Last commit message	Last commit date
Latest commit History 131 Commits
Best_models		Best_models
Ex4Data		Ex4Data
NbTestSet		NbTestSet
accuracy_script		accuracy_script
rmsd_variable_parts		rmsd_variable_parts
scatter_plt_seq_loss_vs_mse_loss		scatter_plt_seq_loss_vs_mse_loss
sequence_logo_files		sequence_logo_files
.gitattributes		.gitattributes
NN_script.sh		NN_script.sh
README.md		README.md
User_manual.pdf		User_manual.pdf
autoencoder_architectures_to_predict_nanobodies_sequences.pdf		autoencoder_architectures_to_predict_nanobodies_sequences.pdf
decoder.py		decoder.py
encoder.py		encoder.py
encoder_attn.py		encoder_attn.py
encoder_mhattn.py		encoder_mhattn.py
requirements.txt		requirements.txt
run.py		run.py
train_input.npy		train_input.npy
train_labels.npy		train_labels.npy
train_network_wandb.py		train_network_wandb.py
utils.py		utils.py