cache - pytorch cached data such as model weights or hessians

code_archive - deprecated code but there might be some useful bits in there; most of the it is meant for 1D synthetic experiments but can probably be adapted for multidimensional data without much effort

data - datasets used for training

images - contains most of the plots for the 1D synthetic experiments

// Useful source code:

utils - code for computing gradients/hessians/fishers for models, also some code for model update tuning but probably needs to be slightly rewritten

binary_dataset - a custom pytorch dataset that should hopefully be able to serve most purposes for benchmarking

bloom_filters - contains the code for a simple online learned BF

online_learned_models - gives a template for what methods a learned model used for the OnlineLBF should have, also has a sample online learned model with (naive) inverse fisher gradient product updates

urldata_example - example of using the supplied code for an experiment on the URL dataset, comparing subsequent IHGP updates with retraining from scratch