oversample

MinimumNaNSplit(n_splits[, n_repeats, ...])

A Repeated Stratified KFold iterator that splits the data into sections

find_nan_indices(arr, obs_axis)	Find the indices of rows with and without NaN values
mixup2(arr, labels, obs_axis[, alpha, seed, ...])	Mixup the data using the labels
oversample_nan(arr, func[, axis, copy, seed])	Oversample nan rows using func
resample(arr, sfreq, new_sfreq[, axis])	Resample an array through linear interpolation.
sortbased_rand(n_range, iterations[, n_picks])	Generate random numbers using sort-based sampling, resulting in a random choice generation without replacement along the first axis.