Tutorial status

Every tutorial’s runnable example is complete. The narrated walkthrough (plot_<slug>.py) is written for some and still a draft for others — drafts render from source and are clearly labelled. This table is generated from the catalogue.

Tutorial	Domain	Status	Difficulty	Runtime
Drug-target affinity prediction with DeepDTA	Protein	Draft	Intermediate	~1 h on one GPU
Drug-target interaction prediction with DrugBAN	Protein	Draft	Advanced	~2 h on one GPU
Polypharmacy side effect prediction with GripNet	Protein	Draft	Advanced	~15 min on one GPU
Multiomics cancer classification with MOGONET	Cancer	Draft	Advanced	~10 min on one GPU
Cardiac MRI diagnosis with multilinear PCA	Cardiac	Draft	Intermediate	~5 min on CPU
Uncertainty estimation for landmark localisation	Cardiac	Draft	Intermediate	~5 min on CPU
Domain adaptation for action recognition	Others	Draft	Advanced	several hours on one GPU
Audio-visual digit classification	Others	Draft	Intermediate	~10 min on CPU
Few-shot image classification with ProtoNet	Others	Draft	Intermediate	~30 min on one GPU
CIFAR-10 classification with a CNN-Transformer	Others	Draft	Beginner	~45 min on one GPU
CIFAR classification with ISONet	Others	Draft	Intermediate	~2 h on one GPU
Domain adaptation on digit images	Others	Written	Beginner	~20 min on one GPU
Multi-source domain adaptation on Office	Others	Draft	Intermediate	~30 min on one GPU
Multi-site neuroimaging classification	Others	Draft	Intermediate	~5 min on CPU
Domain adaptation on synthetic data	Others	Draft	Beginner	<1 min on CPU
Efficient video data loading	Others	Draft	Beginner	<1 min on CPU

Want to help? Pick a Draft row and write its narrative — see Contributing.