domain-invariant-learning

python 3.9.7

algo/

implementations of domain invariant learning algo.

file name	note
algo.py	DANN algo https://arxiv.org/pdf/1505.07818
coral_alog.py	CoRAL algo https://arxiv.org/abs/1607.01719
dan_alog.py	DAN algo https://arxiv.org/abs/1502.02791

experiments/

implementations of experiment workflow (data load, preprocess, init NN, training, evaluation).

dir name	data	execution
make_moons	https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html	python -m domain-invariant-learning.experiments.make_moons.experiment
ecodataset	https://vs.inf.ethz.ch/res/show.html?what=eco-data	git clone https://github.com/oh-yu/deep_occupancy_detection/tree/feature/JSAI run all cells of 01.ipynb - 05.ipynb python -m domain-invariant-learning.experiments.ecodataset_synthetic.experiment
ecodataset_synthetic	see experiment.py logic	git clone https://github.com/oh-yu/deep_occupancy_detection/tree/feature/JSAI run all cells of 01.ipynb - 05.ipynb python -m domain-invariant-learning.experiments.ecodataset_synthetic.experiment

networks/

implementations of networks which include layers, fit method, predict method, predict_proba method. Domain Invariant Laerning and Without Adapt and Train on Target related free params should be set here.

utils/

Definition of generic functions to be called in multiple locations within the above dir structure.