wassersteinwormhole 0.3.7

Transformer based embeddings for Wasserstein Distances

WassersteinWormhole

Embedding point-clouds by preserving Wasserstein distances with the Wormhole.

This implementation is written in Python3 and relies on FLAX, JAX, & JAX-OTT.

To install JAX, simply run the command:

pip install --upgrade pip install -U "jax[cuda12]” 

And to install WassersteinWormhole along with the rest of the requirements:

pip install wassersteinwormhole

And running the Wormhole on your own set of point-clouds is as simple as:

from wassersteinwormhole import Wormhole 
WormholeModel = Wormhole(point_clouds = point_clouds)
WormholeModel.train()
Embeddings = WormholeModel.encode(WormholeModel.point_clouds, WormholeModel.masks)

For more details, follow tutorial at https://wasserstienwormhole.readthedocs.io.