Flunzmas

import math
import torch
import torch.linalg as linalg

def calculate_2_wasserstein_dist(X, Y):
    '''
    Calulates the two components of the 2-Wasserstein metric:
    The general formula is given by: d(P_X, P_Y) = min_{X, Y} E[|X-Y|^2]

    For multivariate gaussian distributed inputs z_X ~ MN(mu_X, cov_X) and z_Y ~ MN(mu_Y, cov_Y),

wohlert

kiwidamien

#!/bin/sh

# This is a pre-commit hook that ensures attempts to commit files that
# are larger than 100 MB to your _local_ repo fail, with a helpful error
# message.
# 
# This prevents the local repo from getting out of sync with the Github 
# repo. To install
# 1) Change this file to executable: 
#    $ chmod a+x pre-commit

nlap

graph-tool on Ubuntu 14.04

Recommended: Graph-tool one-line install commands:

anaconda conda create --name gt -c conda-forge graph-tool

homebrew brew install graph-tool