Get U, Sigma, V* matrix from Truncated SVD in scikit-learn

Looking into the source via the link you provided, TruncatedSVD is basically a wrapper around sklearn.utils.extmath.randomized_svd; you can manually call this yourself like this:

from sklearn.utils.extmath import randomized_svd

U, Sigma, VT = randomized_svd(X, 
                              n_components=15,
                              n_iter=5,
                              random_state=None)