# wassdistance

**Repository Path**: z2007c/wassdistance

## Basic Information

- **Project Name**: wassdistance
- **Description**: Approximating Wasserstein distances with PyTorch
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-08-26
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Approximating Wasserstein distances with PyTorch

Repository for the blog post on [Wasserstein distances](https://dfdazac.github.io/sinkhorn.html).

**Instructions**

Create a conda environment with all the requirements (edit `environment.yml` if you want to change the name of the environment):

```sh
conda env create -f environment.yml
```

Activate the environment

```sh
source activate pytorch
```

Open the notebook to reproduce the results:


```sh
jupyter notebook
```