antipasti package

Subpackages

• antipasti.model package
  • Submodules
  • antipasti.model.model module
    • ANTIPASTI
      • ANTIPASTI.forward()
      • ANTIPASTI.l1_regularization_loss()
  • Module contents
• antipasti.preprocessing package
  • Submodules
  • antipasti.preprocessing.preprocessing module
    • Preprocessing
      • Preprocessing.clean_df()
      • Preprocessing.generate_fv_pdb()
      • Preprocessing.generate_maps()
      • Preprocessing.generate_masked_image()
      • Preprocessing.get_lists_of_lengths()
      • Preprocessing.get_max_min_chains()
      • Preprocessing.initialisation()
      • Preprocessing.load_test_image()
      • Preprocessing.load_training_images()
  • Module contents
• antipasti.utils package
  • Submodules
  • antipasti.utils.biology_utils module
    • antibody_sequence_identity()
    • antigen_identity()
    • check_train_test_identity()
    • extract_mean_region_lengths()
    • get_sequence()
    • remove_nanobodies()
  • antipasti.utils.explaining_utils module
    • add_region_based_on_range()
    • compute_region_importance()
    • compute_residue_importance()
    • compute_umap()
    • get_colours_ag_type()
    • get_maps_of_interest()
    • get_output_representations()
    • get_test_contribution()
    • plot_map_with_regions()
    • plot_region_importance()
    • plot_residue_importance()
    • plot_umap()
  • antipasti.utils.generic_utils module
    • remove_abc()
  • antipasti.utils.torch_utils module
    • create_test_set()
    • load_checkpoint()
    • save_checkpoint()
    • training_routine()
    • training_step()
  • Module contents

Module contents