axtreme.data

Modules

batch_invariant_sampler	Contains samplers where the total dataset procuded is not effect by the size of the batch dimension used.
dataset	Contains objects and helpers for creating data unit testing.
fixed_random_sample	A copy of pytorch's RandomSampler that uses the same random sample for each iteration.
importance_dataset	Dataset that return importance sample information in the form (data, importance_weight).
multi_dim_batch_sampler	Allows retuning batches of data of an arbitrary dimension.
numpy_file_dataset	Datasets to help work with numpy files (.npy).
sizable_sequential_sample	Sequential sampling.