Getting Started
Tutorials
How‑to Guides
Theoretical Background
API Reference
DATASET_CONFIG
GARAGE_DEFAULTS
Discriminator
Discriminator.forward()
GATClassifier
GATClassifier.forward()
Generator
Generator.forward()
gat_subsample()
generate_data()
load_dataset()
main()
run_garage()
sample_Z()
train_gan()
load_generated()
load_real()
wasserstein_distance()
cluster_and_evaluate()
cv2_selection()
load_labels()
plot_umap()
sweep_resolution()
fano_selection()
pca_loading_selection()
run_feature_selection()
enrichment_analysis()
load_cbmc()
marker_expression_analysis()
per_celltype_positive_rate_analysis()
print_summary_interpretation()
run_gat_and_get_attention()
GarageDiscriminator
GarageDiscriminator.forward()
GarageGenerator
GarageGenerator.forward()
LSHDiscriminator
LSHDiscriminator.forward()
LSHGenerator
LSHGenerator.forward()
VanillaDiscriminator
VanillaDiscriminator.forward()
VanillaGenerator
VanillaGenerator.forward()
evaluate_classifier()
evaluate_classifier_downgraded()
garage_gat_seeds()
generate_garage()
generate_lsh_gan()
generate_vanilla_gan()
knn_subsample()
load_data()
split_rare()
train_garage_gan()
train_lsh_gan()
train_vanilla_gan()
compute_ari_nmi()
evaluate_baseline()
evaluate_clustering()
evaluate_real_reference()
evaluate_sweep()
get_pseudo_labels()
load_garage_data()
load_gen_data()
load_real_data()
select_markers_cbmc()
select_markers_muraro()
select_markers_pollen()
select_markers_yan()
load_muraro()
load_pollen()
load_yan()
train_gan_with_leakage()
Critic
Critic.forward()
FDiscriminator
FDiscriminator.forward()
FGenerator
FGenerator.forward()
GATG_Discriminator
GATG_Discriminator.forward()
GATG_Generator
GATG_Generator.forward()
WGenerator
WGenerator.forward()
fisher_ratio()
train_and_generate_fgan()
train_and_generate_gan()
train_and_generate_gatgan()
train_and_generate_lshgan()
train_and_generate_wgan()
load_synthetic()
mmd_rbf()
sliced_wasserstein()
cv2()
load_gen()
fmt_mean_std()
evaluate_ari()
load_gan_data()
load_lsh_gan_data()
rbf_kernel()
Appendix